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Browse files- ArticulatoryTextFrontend.py +1073 -0
- articulatory_features.py +966 -0
- iso_lookup.json +0 -0
- iso_to_fullname.json +0 -0
- requirements.txt +12 -0
- run_feature_visualization.py +55 -0
- run_grapheme_to_feature_demo.py +33 -0
ArticulatoryTextFrontend.py
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|
| 1 |
+
# -*- coding: utf-8 -*-
|
| 2 |
+
|
| 3 |
+
|
| 4 |
+
import json
|
| 5 |
+
import logging
|
| 6 |
+
import re
|
| 7 |
+
|
| 8 |
+
import torch
|
| 9 |
+
from articulatory_features import generate_feature_table
|
| 10 |
+
from articulatory_features import get_feature_to_index_lookup
|
| 11 |
+
from articulatory_features import get_phone_to_id
|
| 12 |
+
from dragonmapper.transcriptions import pinyin_to_ipa
|
| 13 |
+
from phonemizer.backend import EspeakBackend
|
| 14 |
+
from pypinyin import pinyin
|
| 15 |
+
|
| 16 |
+
|
| 17 |
+
def load_json_from_path(path): # redundant to the one in utils, but necessary to avoid circular imports
|
| 18 |
+
with open(path, "r", encoding="utf8") as f:
|
| 19 |
+
obj = json.loads(f.read())
|
| 20 |
+
|
| 21 |
+
return obj
|
| 22 |
+
|
| 23 |
+
|
| 24 |
+
class ArticulatoryTextFrontend:
|
| 25 |
+
|
| 26 |
+
def __init__(self,
|
| 27 |
+
language,
|
| 28 |
+
add_silence_to_end=True, # empirically, I found that most TTS systems benefit from having a pause token at the end
|
| 29 |
+
use_word_boundaries=True, # in multilingual scenarios, this can help. Only really works on languages that use whitespace
|
| 30 |
+
use_explicit_end_of_utterance_token=True, # this can help with autoregressive models
|
| 31 |
+
device="cpu"):
|
| 32 |
+
"""
|
| 33 |
+
Mostly preparing ID lookups
|
| 34 |
+
"""
|
| 35 |
+
|
| 36 |
+
# this locks the device, so it has to happen here and not at the top
|
| 37 |
+
from transphone.g2p import read_g2p
|
| 38 |
+
|
| 39 |
+
self.language = language
|
| 40 |
+
self.use_explicit_eos = use_explicit_end_of_utterance_token
|
| 41 |
+
self.add_silence_to_end = add_silence_to_end
|
| 42 |
+
self.use_word_boundaries = use_word_boundaries
|
| 43 |
+
|
| 44 |
+
register_to_height = {
|
| 45 |
+
"˥": 5,
|
| 46 |
+
"˦": 4,
|
| 47 |
+
"˧": 3,
|
| 48 |
+
"˨": 2,
|
| 49 |
+
"˩": 1
|
| 50 |
+
}
|
| 51 |
+
self.rising_perms = list()
|
| 52 |
+
self.falling_perms = list()
|
| 53 |
+
self.peaking_perms = list()
|
| 54 |
+
self.dipping_perms = list()
|
| 55 |
+
|
| 56 |
+
for first_tone in ["˥", "˦", "˧", "˨", "˩"]:
|
| 57 |
+
for second_tone in ["˥", "˦", "˧", "˨", "˩"]:
|
| 58 |
+
if register_to_height[first_tone] > register_to_height[second_tone]:
|
| 59 |
+
self.falling_perms.append(first_tone + second_tone)
|
| 60 |
+
else:
|
| 61 |
+
self.rising_perms.append(first_tone + second_tone)
|
| 62 |
+
for third_tone in ["˥", "˦", "˧", "˨", "˩"]:
|
| 63 |
+
if register_to_height[first_tone] > register_to_height[second_tone] < register_to_height[third_tone]:
|
| 64 |
+
self.dipping_perms.append(first_tone + second_tone + third_tone)
|
| 65 |
+
elif register_to_height[first_tone] < register_to_height[second_tone] > register_to_height[third_tone]:
|
| 66 |
+
self.peaking_perms.append(first_tone + second_tone + third_tone)
|
| 67 |
+
|
| 68 |
+
if language == "eng" or language == "en-us":
|
| 69 |
+
self.g2p_lang = "en-us" # English as spoken in USA
|
| 70 |
+
self.expand_abbreviations = english_text_expansion
|
| 71 |
+
self.phonemizer = "espeak"
|
| 72 |
+
|
| 73 |
+
elif language == "deu":
|
| 74 |
+
self.g2p_lang = "de" # German
|
| 75 |
+
self.expand_abbreviations = lambda x: x
|
| 76 |
+
self.phonemizer = "espeak"
|
| 77 |
+
|
| 78 |
+
elif language == "ell":
|
| 79 |
+
self.g2p_lang = "el" # Greek
|
| 80 |
+
self.expand_abbreviations = lambda x: x
|
| 81 |
+
self.phonemizer = "espeak"
|
| 82 |
+
|
| 83 |
+
elif language == "spa":
|
| 84 |
+
self.g2p_lang = "es" # Spanish
|
| 85 |
+
self.expand_abbreviations = lambda x: x
|
| 86 |
+
self.phonemizer = "espeak"
|
| 87 |
+
|
| 88 |
+
elif language == "spa-lat":
|
| 89 |
+
self.g2p_lang = "es-419" # Spanish
|
| 90 |
+
self.expand_abbreviations = lambda x: x
|
| 91 |
+
self.phonemizer = "espeak"
|
| 92 |
+
|
| 93 |
+
elif language == "fin":
|
| 94 |
+
self.g2p_lang = "fi" # Finnish
|
| 95 |
+
self.expand_abbreviations = lambda x: x
|
| 96 |
+
self.phonemizer = "espeak"
|
| 97 |
+
|
| 98 |
+
elif language == "rus":
|
| 99 |
+
self.g2p_lang = "ru" # Russian
|
| 100 |
+
self.expand_abbreviations = lambda x: x
|
| 101 |
+
self.phonemizer = "espeak"
|
| 102 |
+
|
| 103 |
+
elif language == "hun":
|
| 104 |
+
self.g2p_lang = "hu" # Hungarian
|
| 105 |
+
self.expand_abbreviations = lambda x: x
|
| 106 |
+
self.phonemizer = "espeak"
|
| 107 |
+
|
| 108 |
+
elif language == "nld":
|
| 109 |
+
self.g2p_lang = "nl" # Dutch
|
| 110 |
+
self.expand_abbreviations = lambda x: x
|
| 111 |
+
self.phonemizer = "espeak"
|
| 112 |
+
|
| 113 |
+
elif language == "fra":
|
| 114 |
+
self.g2p_lang = "fr-fr" # French
|
| 115 |
+
self.expand_abbreviations = remove_french_spacing
|
| 116 |
+
self.phonemizer = "espeak"
|
| 117 |
+
|
| 118 |
+
elif language == "fr-be":
|
| 119 |
+
self.g2p_lang = "fr-be" # French
|
| 120 |
+
self.expand_abbreviations = remove_french_spacing
|
| 121 |
+
self.phonemizer = "espeak"
|
| 122 |
+
|
| 123 |
+
elif language == "fr-sw":
|
| 124 |
+
self.g2p_lang = "fr-ch" # French
|
| 125 |
+
self.expand_abbreviations = remove_french_spacing
|
| 126 |
+
self.phonemizer = "espeak"
|
| 127 |
+
|
| 128 |
+
elif language == "ita":
|
| 129 |
+
self.g2p_lang = "it" # Italian
|
| 130 |
+
self.expand_abbreviations = lambda x: x
|
| 131 |
+
self.phonemizer = "espeak"
|
| 132 |
+
|
| 133 |
+
elif language == "por":
|
| 134 |
+
self.g2p_lang = "pt" # Portuguese
|
| 135 |
+
self.expand_abbreviations = lambda x: x
|
| 136 |
+
self.phonemizer = "espeak"
|
| 137 |
+
|
| 138 |
+
elif language == "pt-br":
|
| 139 |
+
self.g2p_lang = "pt-br" # Portuguese
|
| 140 |
+
self.expand_abbreviations = lambda x: x
|
| 141 |
+
self.phonemizer = "espeak"
|
| 142 |
+
|
| 143 |
+
elif language == "pol":
|
| 144 |
+
self.g2p_lang = "pl" # Polish
|
| 145 |
+
self.expand_abbreviations = lambda x: x
|
| 146 |
+
self.phonemizer = "espeak"
|
| 147 |
+
|
| 148 |
+
elif language == "cmn":
|
| 149 |
+
self.g2p_lang = "cmn" # Mandarin
|
| 150 |
+
self.expand_abbreviations = convert_kanji_to_pinyin_mandarin
|
| 151 |
+
self.phonemizer = "dragonmapper"
|
| 152 |
+
|
| 153 |
+
elif language == "vie":
|
| 154 |
+
self.g2p_lang = "vi" # Northern Vietnamese
|
| 155 |
+
self.expand_abbreviations = lambda x: x
|
| 156 |
+
self.phonemizer = "espeak"
|
| 157 |
+
|
| 158 |
+
elif language == "vi-ctr":
|
| 159 |
+
self.g2p_lang = "vi-vn-x-central" # Central Vietnamese
|
| 160 |
+
self.expand_abbreviations = lambda x: x
|
| 161 |
+
self.phonemizer = "espeak"
|
| 162 |
+
|
| 163 |
+
elif language == "vi-so":
|
| 164 |
+
self.g2p_lang = "vi-vn-x-south" # Southern Vietnamese
|
| 165 |
+
self.expand_abbreviations = lambda x: x
|
| 166 |
+
self.phonemizer = "espeak"
|
| 167 |
+
|
| 168 |
+
elif language == "ukr":
|
| 169 |
+
self.g2p_lang = "uk" # Ukrainian
|
| 170 |
+
self.expand_abbreviations = lambda x: x
|
| 171 |
+
self.phonemizer = "espeak"
|
| 172 |
+
|
| 173 |
+
elif language == "pes":
|
| 174 |
+
self.g2p_lang = "fa" # Western Farsi
|
| 175 |
+
self.expand_abbreviations = lambda x: x
|
| 176 |
+
self.phonemizer = "espeak"
|
| 177 |
+
|
| 178 |
+
elif language == "afr":
|
| 179 |
+
self.g2p_lang = "af" # Afrikaans
|
| 180 |
+
self.expand_abbreviations = lambda x: x
|
| 181 |
+
self.phonemizer = "espeak"
|
| 182 |
+
|
| 183 |
+
elif language == "aln":
|
| 184 |
+
self.g2p_lang = "sq" # Albanian
|
| 185 |
+
self.expand_abbreviations = lambda x: x
|
| 186 |
+
self.phonemizer = "espeak"
|
| 187 |
+
|
| 188 |
+
elif language == "amh":
|
| 189 |
+
self.g2p_lang = "am" # Amharic
|
| 190 |
+
self.expand_abbreviations = lambda x: x
|
| 191 |
+
self.phonemizer = "espeak"
|
| 192 |
+
|
| 193 |
+
elif language == "arb":
|
| 194 |
+
self.g2p_lang = "ar" # Arabic
|
| 195 |
+
self.expand_abbreviations = lambda x: x
|
| 196 |
+
self.phonemizer = "espeak"
|
| 197 |
+
|
| 198 |
+
elif language == "arg":
|
| 199 |
+
self.g2p_lang = "an" # Aragonese
|
| 200 |
+
self.expand_abbreviations = lambda x: x
|
| 201 |
+
self.phonemizer = "espeak"
|
| 202 |
+
|
| 203 |
+
elif language == "hye":
|
| 204 |
+
self.g2p_lang = "hy" # East Armenian
|
| 205 |
+
self.expand_abbreviations = lambda x: x
|
| 206 |
+
self.phonemizer = "espeak"
|
| 207 |
+
|
| 208 |
+
elif language == "hyw":
|
| 209 |
+
self.g2p_lang = "hyw" # West Armenian
|
| 210 |
+
self.expand_abbreviations = lambda x: x
|
| 211 |
+
self.phonemizer = "espeak"
|
| 212 |
+
|
| 213 |
+
elif language == "azj":
|
| 214 |
+
self.g2p_lang = "az" # Azerbaijani
|
| 215 |
+
self.expand_abbreviations = lambda x: x
|
| 216 |
+
self.phonemizer = "espeak"
|
| 217 |
+
|
| 218 |
+
elif language == "bak":
|
| 219 |
+
self.g2p_lang = "ba" # Bashkir
|
| 220 |
+
self.expand_abbreviations = lambda x: x
|
| 221 |
+
self.phonemizer = "espeak"
|
| 222 |
+
|
| 223 |
+
elif language == "eus":
|
| 224 |
+
self.g2p_lang = "eu" # Basque
|
| 225 |
+
self.expand_abbreviations = lambda x: x
|
| 226 |
+
self.phonemizer = "espeak"
|
| 227 |
+
|
| 228 |
+
elif language == "bel":
|
| 229 |
+
self.g2p_lang = "be" # Belarusian
|
| 230 |
+
self.expand_abbreviations = lambda x: x
|
| 231 |
+
self.phonemizer = "espeak"
|
| 232 |
+
|
| 233 |
+
elif language == "ben":
|
| 234 |
+
self.g2p_lang = "bn" # Bengali
|
| 235 |
+
self.expand_abbreviations = lambda x: x
|
| 236 |
+
self.phonemizer = "espeak"
|
| 237 |
+
|
| 238 |
+
elif language == "bpy":
|
| 239 |
+
self.g2p_lang = "bpy" # Bishnupriya Manipuri
|
| 240 |
+
self.expand_abbreviations = lambda x: x
|
| 241 |
+
self.phonemizer = "espeak"
|
| 242 |
+
|
| 243 |
+
elif language == "bos":
|
| 244 |
+
self.g2p_lang = "bs" # Bosnian
|
| 245 |
+
self.expand_abbreviations = lambda x: x
|
| 246 |
+
self.phonemizer = "espeak"
|
| 247 |
+
|
| 248 |
+
elif language == "bul":
|
| 249 |
+
self.g2p_lang = "bg" # Bulgarian
|
| 250 |
+
self.expand_abbreviations = lambda x: x
|
| 251 |
+
self.phonemizer = "espeak"
|
| 252 |
+
|
| 253 |
+
elif language == "mya":
|
| 254 |
+
self.g2p_lang = "my" # Burmese
|
| 255 |
+
self.expand_abbreviations = lambda x: x
|
| 256 |
+
self.phonemizer = "espeak"
|
| 257 |
+
|
| 258 |
+
elif language == "chr":
|
| 259 |
+
self.g2p_lang = "chr" # Cherokee
|
| 260 |
+
self.expand_abbreviations = lambda x: x
|
| 261 |
+
self.phonemizer = "espeak"
|
| 262 |
+
|
| 263 |
+
elif language == "yue":
|
| 264 |
+
self.g2p_lang = "yue" # Chinese Cantonese
|
| 265 |
+
self.expand_abbreviations = lambda x: x
|
| 266 |
+
self.phonemizer = "espeak"
|
| 267 |
+
|
| 268 |
+
elif language == "hak":
|
| 269 |
+
self.g2p_lang = "hak" # Chinese Hakka
|
| 270 |
+
self.expand_abbreviations = lambda x: x
|
| 271 |
+
self.phonemizer = "espeak"
|
| 272 |
+
|
| 273 |
+
elif language == "haw":
|
| 274 |
+
self.g2p_lang = "haw" # Hawaiian
|
| 275 |
+
self.expand_abbreviations = lambda x: x
|
| 276 |
+
self.phonemizer = "espeak"
|
| 277 |
+
|
| 278 |
+
elif language == "hrv":
|
| 279 |
+
self.g2p_lang = "hr" # Croatian
|
| 280 |
+
self.expand_abbreviations = lambda x: x
|
| 281 |
+
self.phonemizer = "espeak"
|
| 282 |
+
|
| 283 |
+
elif language == "ces":
|
| 284 |
+
self.g2p_lang = "cs" # Czech
|
| 285 |
+
self.expand_abbreviations = lambda x: x
|
| 286 |
+
self.phonemizer = "espeak"
|
| 287 |
+
|
| 288 |
+
elif language == "dan":
|
| 289 |
+
self.g2p_lang = "da" # Danish
|
| 290 |
+
self.expand_abbreviations = lambda x: x
|
| 291 |
+
self.phonemizer = "espeak"
|
| 292 |
+
|
| 293 |
+
elif language == "ekk":
|
| 294 |
+
self.g2p_lang = "et" # Estonian
|
| 295 |
+
self.expand_abbreviations = lambda x: x
|
| 296 |
+
self.phonemizer = "espeak"
|
| 297 |
+
|
| 298 |
+
elif language == "gle":
|
| 299 |
+
self.g2p_lang = "ga" # Gaelic Irish
|
| 300 |
+
self.expand_abbreviations = lambda x: x
|
| 301 |
+
self.phonemizer = "espeak"
|
| 302 |
+
|
| 303 |
+
elif language == "gla":
|
| 304 |
+
self.g2p_lang = "gd" # Gaelic Scottish
|
| 305 |
+
self.expand_abbreviations = lambda x: x
|
| 306 |
+
self.phonemizer = "espeak"
|
| 307 |
+
|
| 308 |
+
elif language == "en-sc":
|
| 309 |
+
self.g2p_lang = "en-gb-scotland"
|
| 310 |
+
self.expand_abbreviations = lambda x: x
|
| 311 |
+
self.phonemizer = "espeak"
|
| 312 |
+
|
| 313 |
+
elif language == "kat":
|
| 314 |
+
self.g2p_lang = "ka" # Georgian
|
| 315 |
+
self.expand_abbreviations = lambda x: x
|
| 316 |
+
self.phonemizer = "espeak"
|
| 317 |
+
|
| 318 |
+
elif language == "kal":
|
| 319 |
+
self.g2p_lang = "kl" # Greenlandic
|
| 320 |
+
self.expand_abbreviations = lambda x: x
|
| 321 |
+
self.phonemizer = "espeak"
|
| 322 |
+
|
| 323 |
+
elif language == "guj":
|
| 324 |
+
self.g2p_lang = "gu" # Gujarati
|
| 325 |
+
self.expand_abbreviations = lambda x: x
|
| 326 |
+
self.phonemizer = "espeak"
|
| 327 |
+
|
| 328 |
+
elif language == "heb":
|
| 329 |
+
self.g2p_lang = "he" # Hebrew
|
| 330 |
+
self.expand_abbreviations = lambda x: x
|
| 331 |
+
self.phonemizer = "espeak"
|
| 332 |
+
|
| 333 |
+
elif language == "hin":
|
| 334 |
+
self.g2p_lang = "hi" # Hindi
|
| 335 |
+
self.expand_abbreviations = lambda x: x
|
| 336 |
+
self.phonemizer = "espeak"
|
| 337 |
+
|
| 338 |
+
elif language == "isl":
|
| 339 |
+
self.g2p_lang = "is" # Icelandic
|
| 340 |
+
self.expand_abbreviations = lambda x: x
|
| 341 |
+
self.phonemizer = "espeak"
|
| 342 |
+
|
| 343 |
+
elif language == "ind":
|
| 344 |
+
self.g2p_lang = "id" # Indonesian
|
| 345 |
+
self.expand_abbreviations = lambda x: x
|
| 346 |
+
self.phonemizer = "espeak"
|
| 347 |
+
|
| 348 |
+
elif language == "jpn":
|
| 349 |
+
import pykakasi
|
| 350 |
+
|
| 351 |
+
self.kakasi = pykakasi.Kakasi() # this is not a satisfactory solution, but it is the best one I could come up with so far.
|
| 352 |
+
self.expand_abbreviations = lambda x: " ".join([chunk["hepburn"] for chunk in self.kakasi.convert(x)])
|
| 353 |
+
self.g2p_lang = language
|
| 354 |
+
self.phonemizer = "transphone"
|
| 355 |
+
self.transphone = read_g2p(device=device)
|
| 356 |
+
|
| 357 |
+
elif language == "kan":
|
| 358 |
+
self.g2p_lang = "kn" # Kannada
|
| 359 |
+
self.expand_abbreviations = lambda x: x
|
| 360 |
+
self.phonemizer = "espeak"
|
| 361 |
+
|
| 362 |
+
elif language == "knn":
|
| 363 |
+
self.g2p_lang = "kok" # Konkani
|
| 364 |
+
self.expand_abbreviations = lambda x: x
|
| 365 |
+
self.phonemizer = "espeak"
|
| 366 |
+
|
| 367 |
+
elif language == "kor":
|
| 368 |
+
self.g2p_lang = "ko" # Korean
|
| 369 |
+
self.expand_abbreviations = lambda x: x
|
| 370 |
+
self.phonemizer = "espeak"
|
| 371 |
+
|
| 372 |
+
elif language == "ckb":
|
| 373 |
+
self.g2p_lang = "ku" # Kurdish
|
| 374 |
+
self.expand_abbreviations = lambda x: x
|
| 375 |
+
self.phonemizer = "espeak"
|
| 376 |
+
|
| 377 |
+
elif language == "kaz":
|
| 378 |
+
self.g2p_lang = "kk" # Kazakh
|
| 379 |
+
self.expand_abbreviations = lambda x: x
|
| 380 |
+
self.phonemizer = "espeak"
|
| 381 |
+
|
| 382 |
+
elif language == "kir":
|
| 383 |
+
self.g2p_lang = "ky" # Kyrgyz
|
| 384 |
+
self.expand_abbreviations = lambda x: x
|
| 385 |
+
self.phonemizer = "espeak"
|
| 386 |
+
|
| 387 |
+
elif language == "lat":
|
| 388 |
+
self.g2p_lang = "la" # Latin
|
| 389 |
+
self.expand_abbreviations = lambda x: x
|
| 390 |
+
self.phonemizer = "espeak"
|
| 391 |
+
|
| 392 |
+
elif language == "ltz":
|
| 393 |
+
self.g2p_lang = "lb" # Luxembourgish
|
| 394 |
+
self.expand_abbreviations = lambda x: x
|
| 395 |
+
self.phonemizer = "espeak"
|
| 396 |
+
|
| 397 |
+
elif language == "lvs":
|
| 398 |
+
self.g2p_lang = "lv" # Latvian
|
| 399 |
+
self.expand_abbreviations = lambda x: x
|
| 400 |
+
self.phonemizer = "espeak"
|
| 401 |
+
|
| 402 |
+
elif language == "lit":
|
| 403 |
+
self.g2p_lang = "lt" # Lithuanian
|
| 404 |
+
self.expand_abbreviations = lambda x: x
|
| 405 |
+
self.phonemizer = "espeak"
|
| 406 |
+
|
| 407 |
+
elif language == "mri":
|
| 408 |
+
self.g2p_lang = "mi" # Māori
|
| 409 |
+
self.expand_abbreviations = lambda x: x
|
| 410 |
+
self.phonemizer = "espeak"
|
| 411 |
+
|
| 412 |
+
elif language == "mkd":
|
| 413 |
+
self.g2p_lang = "mk" # Macedonian
|
| 414 |
+
self.expand_abbreviations = lambda x: x
|
| 415 |
+
self.phonemizer = "espeak"
|
| 416 |
+
|
| 417 |
+
elif language == "zlm":
|
| 418 |
+
self.g2p_lang = "ms" # Malay
|
| 419 |
+
self.expand_abbreviations = lambda x: x
|
| 420 |
+
self.phonemizer = "espeak"
|
| 421 |
+
|
| 422 |
+
elif language == "mal":
|
| 423 |
+
self.g2p_lang = "ml" # Malayalam
|
| 424 |
+
self.expand_abbreviations = lambda x: x
|
| 425 |
+
self.phonemizer = "espeak"
|
| 426 |
+
|
| 427 |
+
elif language == "mlt":
|
| 428 |
+
self.g2p_lang = "mt" # Maltese
|
| 429 |
+
self.expand_abbreviations = lambda x: x
|
| 430 |
+
self.phonemizer = "espeak"
|
| 431 |
+
|
| 432 |
+
elif language == "mar":
|
| 433 |
+
self.g2p_lang = "mr" # Marathi
|
| 434 |
+
self.expand_abbreviations = lambda x: x
|
| 435 |
+
self.phonemizer = "espeak"
|
| 436 |
+
|
| 437 |
+
elif language == "nci":
|
| 438 |
+
self.g2p_lang = "nci" # Nahuatl
|
| 439 |
+
self.expand_abbreviations = lambda x: x
|
| 440 |
+
self.phonemizer = "espeak"
|
| 441 |
+
|
| 442 |
+
elif language == "npi":
|
| 443 |
+
self.g2p_lang = "ne" # Nepali
|
| 444 |
+
self.expand_abbreviations = lambda x: x
|
| 445 |
+
self.phonemizer = "espeak"
|
| 446 |
+
|
| 447 |
+
elif language == "nob":
|
| 448 |
+
self.g2p_lang = "nb" # Norwegian Bokmål
|
| 449 |
+
self.expand_abbreviations = lambda x: x
|
| 450 |
+
self.phonemizer = "espeak"
|
| 451 |
+
|
| 452 |
+
elif language == "nog":
|
| 453 |
+
self.g2p_lang = "nog" # Nogai
|
| 454 |
+
self.expand_abbreviations = lambda x: x
|
| 455 |
+
self.phonemizer = "espeak"
|
| 456 |
+
|
| 457 |
+
elif language == "ory":
|
| 458 |
+
self.g2p_lang = "or" # Oriya
|
| 459 |
+
self.expand_abbreviations = lambda x: x
|
| 460 |
+
self.phonemizer = "espeak"
|
| 461 |
+
|
| 462 |
+
elif language == "gaz":
|
| 463 |
+
self.g2p_lang = "om" # Oromo
|
| 464 |
+
self.expand_abbreviations = lambda x: x
|
| 465 |
+
self.phonemizer = "espeak"
|
| 466 |
+
|
| 467 |
+
elif language == "pap":
|
| 468 |
+
self.g2p_lang = "pap" # Papiamento
|
| 469 |
+
self.expand_abbreviations = lambda x: x
|
| 470 |
+
self.phonemizer = "espeak"
|
| 471 |
+
|
| 472 |
+
elif language == "pan":
|
| 473 |
+
self.g2p_lang = "pa" # Punjabi
|
| 474 |
+
self.expand_abbreviations = lambda x: x
|
| 475 |
+
self.phonemizer = "espeak"
|
| 476 |
+
|
| 477 |
+
elif language == "ron":
|
| 478 |
+
self.g2p_lang = "ro" # Romanian
|
| 479 |
+
self.expand_abbreviations = lambda x: x
|
| 480 |
+
self.phonemizer = "espeak"
|
| 481 |
+
|
| 482 |
+
elif language == "lav":
|
| 483 |
+
self.g2p_lang = "ru-lv" # Russian Latvia
|
| 484 |
+
self.expand_abbreviations = lambda x: x
|
| 485 |
+
self.phonemizer = "espeak"
|
| 486 |
+
|
| 487 |
+
elif language == "srp":
|
| 488 |
+
self.g2p_lang = "sr" # Serbian
|
| 489 |
+
self.expand_abbreviations = lambda x: x
|
| 490 |
+
self.phonemizer = "espeak"
|
| 491 |
+
|
| 492 |
+
elif language == "tsn":
|
| 493 |
+
self.g2p_lang = "tn" # Setswana
|
| 494 |
+
self.expand_abbreviations = lambda x: x
|
| 495 |
+
self.phonemizer = "espeak"
|
| 496 |
+
|
| 497 |
+
elif language == "snd":
|
| 498 |
+
self.g2p_lang = "sd" # Sindhi
|
| 499 |
+
self.expand_abbreviations = lambda x: x
|
| 500 |
+
self.phonemizer = "espeak"
|
| 501 |
+
|
| 502 |
+
elif language == "slk":
|
| 503 |
+
self.g2p_lang = "sk" # Slovak
|
| 504 |
+
self.expand_abbreviations = lambda x: x
|
| 505 |
+
self.phonemizer = "espeak"
|
| 506 |
+
|
| 507 |
+
elif language == "slv":
|
| 508 |
+
self.g2p_lang = "sl" # Slovenian
|
| 509 |
+
self.expand_abbreviations = lambda x: x
|
| 510 |
+
self.phonemizer = "espeak"
|
| 511 |
+
|
| 512 |
+
elif language == "smj":
|
| 513 |
+
self.g2p_lang = "smj" # Lule Saami
|
| 514 |
+
self.expand_abbreviations = lambda x: x
|
| 515 |
+
self.phonemizer = "espeak"
|
| 516 |
+
|
| 517 |
+
elif language == "swh":
|
| 518 |
+
self.g2p_lang = "sw" # Swahili
|
| 519 |
+
self.expand_abbreviations = lambda x: x
|
| 520 |
+
self.phonemizer = "espeak"
|
| 521 |
+
|
| 522 |
+
elif language == "swe":
|
| 523 |
+
self.g2p_lang = "sv" # Swedish
|
| 524 |
+
self.expand_abbreviations = lambda x: x
|
| 525 |
+
self.phonemizer = "espeak"
|
| 526 |
+
|
| 527 |
+
elif language == "tam":
|
| 528 |
+
self.g2p_lang = "ta" # Tamil
|
| 529 |
+
self.expand_abbreviations = lambda x: x
|
| 530 |
+
self.phonemizer = "espeak"
|
| 531 |
+
|
| 532 |
+
elif language == "tha":
|
| 533 |
+
self.g2p_lang = "th" # Thai
|
| 534 |
+
self.expand_abbreviations = lambda x: x
|
| 535 |
+
self.phonemizer = "espeak"
|
| 536 |
+
|
| 537 |
+
elif language == "tuk":
|
| 538 |
+
self.g2p_lang = "tk" # Turkmen
|
| 539 |
+
self.expand_abbreviations = lambda x: x
|
| 540 |
+
self.phonemizer = "espeak"
|
| 541 |
+
|
| 542 |
+
elif language == "tat":
|
| 543 |
+
self.g2p_lang = "tt" # Tatar
|
| 544 |
+
self.expand_abbreviations = lambda x: x
|
| 545 |
+
self.phonemizer = "espeak"
|
| 546 |
+
|
| 547 |
+
elif language == "tel":
|
| 548 |
+
self.g2p_lang = "te" # Telugu
|
| 549 |
+
self.expand_abbreviations = lambda x: x
|
| 550 |
+
self.phonemizer = "espeak"
|
| 551 |
+
|
| 552 |
+
elif language == "tur":
|
| 553 |
+
self.g2p_lang = "tr" # Turkish
|
| 554 |
+
self.expand_abbreviations = lambda x: x
|
| 555 |
+
self.phonemizer = "espeak"
|
| 556 |
+
|
| 557 |
+
elif language == "uig":
|
| 558 |
+
self.g2p_lang = "ug" # Uyghur
|
| 559 |
+
self.expand_abbreviations = lambda x: x
|
| 560 |
+
self.phonemizer = "espeak"
|
| 561 |
+
|
| 562 |
+
elif language == "urd":
|
| 563 |
+
self.g2p_lang = "ur" # Urdu
|
| 564 |
+
self.expand_abbreviations = lambda x: x
|
| 565 |
+
self.phonemizer = "espeak"
|
| 566 |
+
|
| 567 |
+
elif language == "uzn":
|
| 568 |
+
self.g2p_lang = "uz" # Uzbek
|
| 569 |
+
self.expand_abbreviations = lambda x: x
|
| 570 |
+
self.phonemizer = "espeak"
|
| 571 |
+
|
| 572 |
+
elif language == "cym":
|
| 573 |
+
self.g2p_lang = "cy" # Welsh
|
| 574 |
+
self.expand_abbreviations = lambda x: x
|
| 575 |
+
self.phonemizer = "espeak"
|
| 576 |
+
|
| 577 |
+
else:
|
| 578 |
+
# blanket solution for the rest
|
| 579 |
+
print("Using Transphone. A specialized phonemizer might work better.")
|
| 580 |
+
self.g2p_lang = language
|
| 581 |
+
self.phonemizer = "transphone"
|
| 582 |
+
self.expand_abbreviations = lambda x: x
|
| 583 |
+
self.transphone = read_g2p(device=device)
|
| 584 |
+
|
| 585 |
+
# remember to also update get_language_id() below when adding something here, as well as the get_example_sentence function
|
| 586 |
+
|
| 587 |
+
if self.phonemizer == "espeak":
|
| 588 |
+
try:
|
| 589 |
+
self.phonemizer_backend = EspeakBackend(language=self.g2p_lang,
|
| 590 |
+
punctuation_marks=';:,.!?¡¿—…()"«»“”~/。【】、‥،؟“”؛',
|
| 591 |
+
preserve_punctuation=True,
|
| 592 |
+
language_switch='remove-flags',
|
| 593 |
+
with_stress=True,
|
| 594 |
+
logger=logging.getLogger(__file__))
|
| 595 |
+
except RuntimeError:
|
| 596 |
+
print("Error in loading espeak! \n"
|
| 597 |
+
"Maybe espeak is not installed on your system? \n"
|
| 598 |
+
"Falling back to transphone.")
|
| 599 |
+
from transphone.g2p import read_g2p
|
| 600 |
+
self.g2p_lang = self.language
|
| 601 |
+
self.phonemizer = "transphone"
|
| 602 |
+
self.expand_abbreviations = lambda x: x
|
| 603 |
+
self.transphone = read_g2p()
|
| 604 |
+
self.phone_to_vector = generate_feature_table()
|
| 605 |
+
self.phone_to_id = get_phone_to_id()
|
| 606 |
+
self.id_to_phone = {v: k for k, v in self.phone_to_id.items()}
|
| 607 |
+
self.text_vector_to_phone_cache = dict()
|
| 608 |
+
|
| 609 |
+
@staticmethod
|
| 610 |
+
def get_example_sentence(lang):
|
| 611 |
+
if lang == "eng":
|
| 612 |
+
return "This is a complex sentence, it even has a pause!"
|
| 613 |
+
elif lang == "deu":
|
| 614 |
+
return "Dies ist ein komplexer Satz, er hat sogar eine Pause!"
|
| 615 |
+
elif lang == "ell":
|
| 616 |
+
return "Αυτή είναι μια σύνθετη πρόταση, έχει ακόμη και παύση!"
|
| 617 |
+
elif lang == "spa":
|
| 618 |
+
return "Esta es una oración compleja, ¡incluso tiene una pausa!"
|
| 619 |
+
elif lang == "fin":
|
| 620 |
+
return "Tämä on monimutkainen lause, sillä on jopa tauko!"
|
| 621 |
+
elif lang == "rus":
|
| 622 |
+
return "Это сложное предложение, в нем даже есть пауза!"
|
| 623 |
+
elif lang == "hun":
|
| 624 |
+
return "Ez egy összetett mondat, még szünet is van benne!"
|
| 625 |
+
elif lang == "nld":
|
| 626 |
+
return "Dit is een complexe zin, er zit zelfs een pauze in!"
|
| 627 |
+
elif lang == "fra":
|
| 628 |
+
return "C'est une phrase complexe, elle a même une pause !"
|
| 629 |
+
elif lang == "por":
|
| 630 |
+
return "Esta é uma frase complexa, tem até uma pausa!"
|
| 631 |
+
elif lang == "pol":
|
| 632 |
+
return "To jest zdanie złożone, ma nawet pauzę!"
|
| 633 |
+
elif lang == "ita":
|
| 634 |
+
return "Questa è una frase complessa, ha anche una pausa!"
|
| 635 |
+
elif lang == "cmn":
|
| 636 |
+
return "这是一个复杂的句子,它甚至包含一个停顿。"
|
| 637 |
+
elif lang == "vie":
|
| 638 |
+
return "Đây là một câu phức tạp, nó thậm chí còn chứa một khoảng dừng."
|
| 639 |
+
else:
|
| 640 |
+
print(f"No example sentence specified for the language: {lang}\n "
|
| 641 |
+
f"Please specify an example sentence in the get_example_sentence function in Preprocessing/TextFrontend to track your progress.")
|
| 642 |
+
return None
|
| 643 |
+
|
| 644 |
+
def string_to_tensor(self, text, view=False, device="cpu", handle_missing=True, input_phonemes=False):
|
| 645 |
+
"""
|
| 646 |
+
Fixes unicode errors, expands some abbreviations,
|
| 647 |
+
turns graphemes into phonemes and then vectorizes
|
| 648 |
+
the sequence as articulatory features
|
| 649 |
+
"""
|
| 650 |
+
if input_phonemes:
|
| 651 |
+
phones = text
|
| 652 |
+
else:
|
| 653 |
+
phones = self.get_phone_string(text=text, include_eos_symbol=True, for_feature_extraction=True)
|
| 654 |
+
phones = phones.replace("ɚ", "��").replace("ᵻ", "ɨ")
|
| 655 |
+
if view:
|
| 656 |
+
print("Phonemes: \n{}\n".format(phones))
|
| 657 |
+
phones_vector = list()
|
| 658 |
+
# turn into numeric vectors
|
| 659 |
+
stressed_flag = False
|
| 660 |
+
|
| 661 |
+
for char in phones:
|
| 662 |
+
# affects following phoneme -----------------
|
| 663 |
+
if char.strip() == '\u02C8':
|
| 664 |
+
# primary stress
|
| 665 |
+
stressed_flag = True
|
| 666 |
+
# affects previous phoneme -----------------
|
| 667 |
+
elif char.strip() == '\u02D0':
|
| 668 |
+
# lengthened
|
| 669 |
+
phones_vector[-1][get_feature_to_index_lookup()["lengthened"]] = 1
|
| 670 |
+
elif char.strip() == '\u02D1':
|
| 671 |
+
# half length
|
| 672 |
+
phones_vector[-1][get_feature_to_index_lookup()["half-length"]] = 1
|
| 673 |
+
elif char.strip() == '\u0306':
|
| 674 |
+
# shortened
|
| 675 |
+
phones_vector[-1][get_feature_to_index_lookup()["shortened"]] = 1
|
| 676 |
+
elif char.strip() == '̃' and phones_vector[-1][get_feature_to_index_lookup()["nasal"]] != 1:
|
| 677 |
+
# nasalized (vowel)
|
| 678 |
+
phones_vector[-1][get_feature_to_index_lookup()["nasal"]] = 2
|
| 679 |
+
elif char.strip() == "̧" != phones_vector[-1][get_feature_to_index_lookup()["palatal"]] != 1:
|
| 680 |
+
# palatalized
|
| 681 |
+
phones_vector[-1][get_feature_to_index_lookup()["palatal"]] = 2
|
| 682 |
+
elif char.strip() == "ʷ" and phones_vector[-1][get_feature_to_index_lookup()["labial-velar"]] != 1:
|
| 683 |
+
# labialized
|
| 684 |
+
phones_vector[-1][get_feature_to_index_lookup()["labial-velar"]] = 2
|
| 685 |
+
elif char.strip() == "ʰ" and phones_vector[-1][get_feature_to_index_lookup()["aspirated"]] != 1:
|
| 686 |
+
# aspirated
|
| 687 |
+
phones_vector[-1][get_feature_to_index_lookup()["aspirated"]] = 2
|
| 688 |
+
elif char.strip() == "ˠ" and phones_vector[-1][get_feature_to_index_lookup()["velar"]] != 1:
|
| 689 |
+
# velarized
|
| 690 |
+
phones_vector[-1][get_feature_to_index_lookup()["velar"]] = 2
|
| 691 |
+
elif char.strip() == "ˁ" and phones_vector[-1][get_feature_to_index_lookup()["pharyngal"]] != 1:
|
| 692 |
+
# pharyngealized
|
| 693 |
+
phones_vector[-1][get_feature_to_index_lookup()["pharyngal"]] = 2
|
| 694 |
+
elif char.strip() == "ˀ" and phones_vector[-1][get_feature_to_index_lookup()["glottal"]] != 1:
|
| 695 |
+
# glottalized
|
| 696 |
+
phones_vector[-1][get_feature_to_index_lookup()["glottal"]] = 2
|
| 697 |
+
elif char.strip() == "ʼ" and phones_vector[-1][get_feature_to_index_lookup()["ejective"]] != 1:
|
| 698 |
+
# ejective
|
| 699 |
+
phones_vector[-1][get_feature_to_index_lookup()["ejective"]] = 2
|
| 700 |
+
elif char.strip() == "̹" and phones_vector[-1][get_feature_to_index_lookup()["rounded"]] != 1:
|
| 701 |
+
# rounding
|
| 702 |
+
phones_vector[-1][get_feature_to_index_lookup()["rounded"]] = 2
|
| 703 |
+
elif char.strip() == "̞" and phones_vector[-1][get_feature_to_index_lookup()["open"]] != 1:
|
| 704 |
+
# open
|
| 705 |
+
phones_vector[-1][get_feature_to_index_lookup()["open"]] = 2
|
| 706 |
+
elif char.strip() == "̪" and phones_vector[-1][get_feature_to_index_lookup()["dental"]] != 1:
|
| 707 |
+
# dental
|
| 708 |
+
phones_vector[-1][get_feature_to_index_lookup()["dental"]] = 2
|
| 709 |
+
elif char.strip() == "̬" and phones_vector[-1][get_feature_to_index_lookup()["voiced"]] != 1:
|
| 710 |
+
# voiced
|
| 711 |
+
phones_vector[-1][get_feature_to_index_lookup()["voiced"]] = 2
|
| 712 |
+
elif char.strip() == "̝" and phones_vector[-1][get_feature_to_index_lookup()["close"]] != 1:
|
| 713 |
+
# closed
|
| 714 |
+
phones_vector[-1][get_feature_to_index_lookup()["close"]] = 2
|
| 715 |
+
elif char.strip() == "̰" and phones_vector[-1][get_feature_to_index_lookup()["glottal"]] != 1 and phones_vector[-1][get_feature_to_index_lookup()["epiglottal"]] != 1:
|
| 716 |
+
# laryngalization
|
| 717 |
+
phones_vector[-1][get_feature_to_index_lookup()["glottal"]] = 2
|
| 718 |
+
phones_vector[-1][get_feature_to_index_lookup()["epiglottal"]] = 2
|
| 719 |
+
elif char.strip() == "̈" and phones_vector[-1][get_feature_to_index_lookup()["central"]] != 1:
|
| 720 |
+
# centralization
|
| 721 |
+
phones_vector[-1][get_feature_to_index_lookup()["central"]] = 2
|
| 722 |
+
elif char.strip() == "̜" and phones_vector[-1][get_feature_to_index_lookup()["unrounded"]] != 1:
|
| 723 |
+
# unrounded
|
| 724 |
+
phones_vector[-1][get_feature_to_index_lookup()["unrounded"]] = 2
|
| 725 |
+
elif char.strip() == "̥" and phones_vector[-1][get_feature_to_index_lookup()["unvoiced"]] != 1:
|
| 726 |
+
# voiceless
|
| 727 |
+
phones_vector[-1][get_feature_to_index_lookup()["unvoiced"]] = 2
|
| 728 |
+
elif char.strip() == "˥":
|
| 729 |
+
# very high tone
|
| 730 |
+
phones_vector[-1][get_feature_to_index_lookup()["very-high-tone"]] = 1
|
| 731 |
+
elif char.strip() == "˦":
|
| 732 |
+
# high tone
|
| 733 |
+
phones_vector[-1][get_feature_to_index_lookup()["high-tone"]] = 1
|
| 734 |
+
elif char.strip() == "˧":
|
| 735 |
+
# mid tone
|
| 736 |
+
phones_vector[-1][get_feature_to_index_lookup()["mid-tone"]] = 1
|
| 737 |
+
elif char.strip() == "˨":
|
| 738 |
+
# low tone
|
| 739 |
+
phones_vector[-1][get_feature_to_index_lookup()["low-tone"]] = 1
|
| 740 |
+
elif char.strip() == "˩":
|
| 741 |
+
# very low tone
|
| 742 |
+
phones_vector[-1][get_feature_to_index_lookup()["very-low-tone"]] = 1
|
| 743 |
+
elif char.strip() == "⭧":
|
| 744 |
+
# rising tone
|
| 745 |
+
phones_vector[-1][get_feature_to_index_lookup()["rising-tone"]] = 1
|
| 746 |
+
elif char.strip() == "⭨":
|
| 747 |
+
# falling tone
|
| 748 |
+
phones_vector[-1][get_feature_to_index_lookup()["falling-tone"]] = 1
|
| 749 |
+
elif char.strip() == "⮁":
|
| 750 |
+
# peaking tone
|
| 751 |
+
phones_vector[-1][get_feature_to_index_lookup()["peaking-tone"]] = 1
|
| 752 |
+
elif char.strip() == "⮃":
|
| 753 |
+
# dipping tone
|
| 754 |
+
phones_vector[-1][get_feature_to_index_lookup()["dipping-tone"]] = 1
|
| 755 |
+
else:
|
| 756 |
+
if handle_missing:
|
| 757 |
+
try:
|
| 758 |
+
phones_vector.append(self.phone_to_vector[char].copy())
|
| 759 |
+
except KeyError:
|
| 760 |
+
print("unknown phoneme: {}".format(char))
|
| 761 |
+
else:
|
| 762 |
+
phones_vector.append(self.phone_to_vector[char].copy()) # leave error handling to elsewhere
|
| 763 |
+
# the following lines try to emulate whispering by removing all voiced features
|
| 764 |
+
# phones_vector[-1][get_feature_to_index_lookup()["voiced"]] = 0
|
| 765 |
+
# phones_vector[-1][get_feature_to_index_lookup()["unvoiced"]] = 1
|
| 766 |
+
# the following lines explore what would happen, if the system is told to produce sounds a human cannot
|
| 767 |
+
# for dim, _ in enumerate(phones_vector[-1]):
|
| 768 |
+
# phones_vector[-1][dim] = 1
|
| 769 |
+
if stressed_flag:
|
| 770 |
+
stressed_flag = False
|
| 771 |
+
phones_vector[-1][get_feature_to_index_lookup()["stressed"]] = 1
|
| 772 |
+
|
| 773 |
+
return torch.Tensor(phones_vector, device=device)
|
| 774 |
+
|
| 775 |
+
def get_phone_string(self, text, include_eos_symbol=True, for_feature_extraction=False, for_plot_labels=False):
|
| 776 |
+
if text == "":
|
| 777 |
+
return ""
|
| 778 |
+
# expand abbreviations
|
| 779 |
+
utt = self.expand_abbreviations(text)
|
| 780 |
+
|
| 781 |
+
# convert the graphemes to phonemes here
|
| 782 |
+
if self.phonemizer == "espeak":
|
| 783 |
+
try:
|
| 784 |
+
phones = self.phonemizer_backend.phonemize([utt], strip=True)[0] # To use a different phonemizer, this is the only line that needs to be exchanged
|
| 785 |
+
except:
|
| 786 |
+
print(f"There was an error with espeak. \nFalling back to transphone.\nSentence: {utt} \nLanguage {self.g2p_lang}")
|
| 787 |
+
from transphone.g2p import read_g2p
|
| 788 |
+
self.g2p_lang = self.language
|
| 789 |
+
self.phonemizer = "transphone"
|
| 790 |
+
self.expand_abbreviations = lambda x: x
|
| 791 |
+
self.transphone = read_g2p()
|
| 792 |
+
return self.get_phone_string(text, include_eos_symbol, for_feature_extraction, for_plot_labels)
|
| 793 |
+
elif self.phonemizer == "transphone":
|
| 794 |
+
replacements = [
|
| 795 |
+
# punctuation in languages with non-latin script
|
| 796 |
+
("。", "~"),
|
| 797 |
+
(",", "~"),
|
| 798 |
+
("【", '~'),
|
| 799 |
+
("】", '~'),
|
| 800 |
+
("、", "~"),
|
| 801 |
+
("‥", "~"),
|
| 802 |
+
("؟", "~"),
|
| 803 |
+
("،", "~"),
|
| 804 |
+
("“", '~'),
|
| 805 |
+
("”", '~'),
|
| 806 |
+
("؛", "~"),
|
| 807 |
+
("《", '~'),
|
| 808 |
+
("》", '~'),
|
| 809 |
+
("?", "~"),
|
| 810 |
+
("!", "~"),
|
| 811 |
+
(" :", "~"),
|
| 812 |
+
(" ;", "~"),
|
| 813 |
+
("-", "~"),
|
| 814 |
+
("·", " "),
|
| 815 |
+
("`", ""),
|
| 816 |
+
# symbols that indicate a pause or silence
|
| 817 |
+
('"', "~"),
|
| 818 |
+
(" - ", "~ "),
|
| 819 |
+
("- ", "~ "),
|
| 820 |
+
("-", ""),
|
| 821 |
+
("…", "~"),
|
| 822 |
+
(":", "~"),
|
| 823 |
+
(";", "~"),
|
| 824 |
+
(",", "~") # make sure this remains the final one when adding new ones
|
| 825 |
+
]
|
| 826 |
+
for replacement in replacements:
|
| 827 |
+
utt = utt.replace(replacement[0], replacement[1])
|
| 828 |
+
utt = re.sub("~+", "~", utt)
|
| 829 |
+
utt = re.sub(r"\s+", " ", utt)
|
| 830 |
+
utt = re.sub(r"\.+", ".", utt)
|
| 831 |
+
chunk_list = list()
|
| 832 |
+
for chunk in utt.split("~"):
|
| 833 |
+
# unfortunately the transphone tokenizer is not suited for any languages besides English it seems
|
| 834 |
+
# this is not much better, but maybe a little.
|
| 835 |
+
word_list = list()
|
| 836 |
+
for word_by_whitespace in chunk.split():
|
| 837 |
+
word_list.append(self.transphone.inference(word_by_whitespace, self.g2p_lang))
|
| 838 |
+
chunk_list.append(" ".join(["".join(word) for word in word_list]))
|
| 839 |
+
phones = "~ ".join(chunk_list)
|
| 840 |
+
elif self.phonemizer == "dragonmapper":
|
| 841 |
+
phones = pinyin_to_ipa(utt)
|
| 842 |
+
|
| 843 |
+
# Unfortunately tonal languages don't agree on the tone, most tonal
|
| 844 |
+
# languages use different tones denoted by different numbering
|
| 845 |
+
# systems. At this point in the script, it is attempted to unify
|
| 846 |
+
# them all to the tones in the IPA standard.
|
| 847 |
+
if self.g2p_lang == "vi":
|
| 848 |
+
phones = phones.replace('1', "˧")
|
| 849 |
+
phones = phones.replace('2', "˨˩")
|
| 850 |
+
phones = phones.replace('ɜ', "˧˥") # I'm fairly certain that this is a bug in espeak and ɜ is meant to be 3
|
| 851 |
+
phones = phones.replace('3', "˧˥") # I'm fairly certain that this is a bug in espeak and ɜ is meant to be 3
|
| 852 |
+
phones = phones.replace('4', "˦˧˥")
|
| 853 |
+
phones = phones.replace('5', "˧˩˧")
|
| 854 |
+
phones = phones.replace('6', "˧˩˨ʔ") # very weird tone, because the tone introduces another phoneme
|
| 855 |
+
phones = phones.replace('7', "˧")
|
| 856 |
+
elif self.g2p_lang == "yue":
|
| 857 |
+
phones = phones.replace('1', "˥")
|
| 858 |
+
phones = phones.replace('2', "˧˥")
|
| 859 |
+
phones = phones.replace('3', "˧")
|
| 860 |
+
phones = phones.replace('4', "˧˩")
|
| 861 |
+
phones = phones.replace('5', "˩˧")
|
| 862 |
+
phones = phones.replace('6', "˨")
|
| 863 |
+
# more of this handling for more tonal languages can be added here, simply make an elif statement and check for the language.
|
| 864 |
+
return self.postprocess_phoneme_string(phones, for_feature_extraction, include_eos_symbol, for_plot_labels)
|
| 865 |
+
|
| 866 |
+
def postprocess_phoneme_string(self, phoneme_string, for_feature_extraction, include_eos_symbol, for_plot_labels):
|
| 867 |
+
"""
|
| 868 |
+
Takes as input a phoneme string and processes it to work best with the way we represent phonemes as featurevectors
|
| 869 |
+
"""
|
| 870 |
+
replacements = [
|
| 871 |
+
# punctuation in languages with non-latin script
|
| 872 |
+
("。", "."),
|
| 873 |
+
(",", ","),
|
| 874 |
+
("【", '"'),
|
| 875 |
+
("】", '"'),
|
| 876 |
+
("、", ","),
|
| 877 |
+
("‥", "…"),
|
| 878 |
+
("؟", "?"),
|
| 879 |
+
("،", ","),
|
| 880 |
+
("“", '"'),
|
| 881 |
+
("”", '"'),
|
| 882 |
+
("؛", ","),
|
| 883 |
+
("《", '"'),
|
| 884 |
+
("》", '"'),
|
| 885 |
+
("?", "?"),
|
| 886 |
+
("!", "!"),
|
| 887 |
+
(" :", ":"),
|
| 888 |
+
(" ;", ";"),
|
| 889 |
+
("-", "-"),
|
| 890 |
+
("·", " "),
|
| 891 |
+
# latin script punctuation
|
| 892 |
+
("/", " "),
|
| 893 |
+
("—", ""),
|
| 894 |
+
("(", "~"),
|
| 895 |
+
(")", "~"),
|
| 896 |
+
("...", "…"),
|
| 897 |
+
("\n", ", "),
|
| 898 |
+
("\t", " "),
|
| 899 |
+
("¡", ""),
|
| 900 |
+
("¿", ""),
|
| 901 |
+
("«", '"'),
|
| 902 |
+
("»", '"'),
|
| 903 |
+
# unifying some phoneme representations
|
| 904 |
+
("N", "ŋ"), # somehow transphone doesn't transform this to IPA
|
| 905 |
+
("ɫ", "l"), # alveolopalatal
|
| 906 |
+
("ɚ", "ə"),
|
| 907 |
+
("g", "ɡ"),
|
| 908 |
+
("ε", "e"),
|
| 909 |
+
("ʦ", "ts"),
|
| 910 |
+
("ˤ", "ˁ"),
|
| 911 |
+
('ᵻ', 'ɨ'),
|
| 912 |
+
("ɧ", "ç"), # velopalatal
|
| 913 |
+
("ɥ", "j"), # labiopalatal
|
| 914 |
+
("ɬ", "s"), # lateral
|
| 915 |
+
("ɮ", "z"), # lateral
|
| 916 |
+
('ɺ', 'ɾ'), # lateral
|
| 917 |
+
('ʲ', 'j'), # decomposed palatalization
|
| 918 |
+
('\u02CC', ""), # secondary stress
|
| 919 |
+
('\u030B', "˥"),
|
| 920 |
+
('\u0301', "˦"),
|
| 921 |
+
('\u0304', "˧"),
|
| 922 |
+
('\u0300', "˨"),
|
| 923 |
+
('\u030F', "˩"),
|
| 924 |
+
('\u0302', "⭨"),
|
| 925 |
+
('\u030C', "⭧"),
|
| 926 |
+
("꜖", "˩"),
|
| 927 |
+
("꜕", "˨"),
|
| 928 |
+
("꜔", "˧"),
|
| 929 |
+
("꜓", "˦"),
|
| 930 |
+
("꜒", "˥"),
|
| 931 |
+
# symbols that indicate a pause or silence
|
| 932 |
+
('"', "~"),
|
| 933 |
+
(" - ", "~ "),
|
| 934 |
+
("- ", "~ "),
|
| 935 |
+
("-", ""),
|
| 936 |
+
("…", "."),
|
| 937 |
+
(":", "~"),
|
| 938 |
+
(";", "~"),
|
| 939 |
+
(",", "~") # make sure this remains the final one when adding new ones
|
| 940 |
+
]
|
| 941 |
+
unsupported_ipa_characters = {'̙', '̯', '̤', '̩', '̠', '̟', 'ꜜ', '̽', '|', '•', '↘',
|
| 942 |
+
'‖', '‿', 'ᷝ', 'ᷠ', '̚', '↗', 'ꜛ', '̻', '̘', '͡', '̺'}
|
| 943 |
+
# https://en.wikipedia.org/wiki/IPA_number
|
| 944 |
+
for char in unsupported_ipa_characters:
|
| 945 |
+
replacements.append((char, ""))
|
| 946 |
+
|
| 947 |
+
if not for_feature_extraction:
|
| 948 |
+
# in case we want to plot etc., we only need the segmental units, so we remove everything else.
|
| 949 |
+
replacements = replacements + [
|
| 950 |
+
('\u02C8', ""), # primary stress
|
| 951 |
+
('\u02D0', ""), # lengthened
|
| 952 |
+
('\u02D1', ""), # half-length
|
| 953 |
+
('\u0306', ""), # shortened
|
| 954 |
+
("˥", ""), # very high tone
|
| 955 |
+
("˦", ""), # high tone
|
| 956 |
+
("˧", ""), # mid tone
|
| 957 |
+
("˨", ""), # low tone
|
| 958 |
+
("˩", ""), # very low tone
|
| 959 |
+
('\u030C', ""), # rising tone
|
| 960 |
+
('\u0302', ""), # falling tone
|
| 961 |
+
('⭧', ""), # rising
|
| 962 |
+
('⭨', ""), # falling
|
| 963 |
+
('⮃', ""), # dipping
|
| 964 |
+
('⮁', ""), # peaking
|
| 965 |
+
('̃', ""), # nasalizing
|
| 966 |
+
("̧", ""), # palatalized
|
| 967 |
+
("ʷ", ""), # labialized
|
| 968 |
+
("ʰ", ""), # aspirated
|
| 969 |
+
("ˠ", ""), # velarized
|
| 970 |
+
("ˁ", ""), # pharyngealized
|
| 971 |
+
("ˀ", ""), # glottalized
|
| 972 |
+
("ʼ", ""), # ejective
|
| 973 |
+
("̹", ""), # rounding
|
| 974 |
+
("̞", ""), # open
|
| 975 |
+
("̪", ""), # dental
|
| 976 |
+
("̬", ""), # voiced
|
| 977 |
+
("̝", ""), # closed
|
| 978 |
+
("̰", ""), # laryngalization
|
| 979 |
+
("̈", ""), # centralization
|
| 980 |
+
("̜", ""), # unrounded
|
| 981 |
+
("̥", ""), # voiceless
|
| 982 |
+
]
|
| 983 |
+
for replacement in replacements:
|
| 984 |
+
phoneme_string = phoneme_string.replace(replacement[0], replacement[1])
|
| 985 |
+
phones = re.sub("~+", "~", phoneme_string)
|
| 986 |
+
phones = re.sub(r"\s+", " ", phones)
|
| 987 |
+
phones = re.sub(r"\.+", ".", phones)
|
| 988 |
+
phones = phones.lstrip("~").rstrip("~")
|
| 989 |
+
|
| 990 |
+
# peaking tones
|
| 991 |
+
for peaking_perm in self.peaking_perms:
|
| 992 |
+
phones = phones.replace(peaking_perm, "⮁".join(peaking_perm))
|
| 993 |
+
# dipping tones
|
| 994 |
+
for dipping_perm in self.dipping_perms:
|
| 995 |
+
phones = phones.replace(dipping_perm, "⮃".join(dipping_perm))
|
| 996 |
+
# rising tones
|
| 997 |
+
for rising_perm in self.rising_perms:
|
| 998 |
+
phones = phones.replace(rising_perm, "⭧".join(rising_perm))
|
| 999 |
+
# falling tones
|
| 1000 |
+
for falling_perm in self.falling_perms:
|
| 1001 |
+
phones = phones.replace(falling_perm, "⭨".join(falling_perm))
|
| 1002 |
+
|
| 1003 |
+
if self.add_silence_to_end:
|
| 1004 |
+
phones += "~" # adding a silence in the end during inference produces more natural sounding prosody
|
| 1005 |
+
if include_eos_symbol:
|
| 1006 |
+
phones += "#"
|
| 1007 |
+
if not self.use_word_boundaries:
|
| 1008 |
+
phones = phones.replace(" ", "")
|
| 1009 |
+
if for_plot_labels:
|
| 1010 |
+
phones = phones.replace(" ", "|")
|
| 1011 |
+
|
| 1012 |
+
phones = "~" + phones
|
| 1013 |
+
phones = re.sub("~+", "~", phones)
|
| 1014 |
+
|
| 1015 |
+
return phones
|
| 1016 |
+
|
| 1017 |
+
def text_vectors_to_id_sequence(self, text_vector):
|
| 1018 |
+
tokens = list()
|
| 1019 |
+
for vector in text_vector:
|
| 1020 |
+
if vector[get_feature_to_index_lookup()["word-boundary"]] == 0:
|
| 1021 |
+
# we don't include word boundaries when performing alignment, since they are not always present in audio.
|
| 1022 |
+
features = vector.cpu().numpy().tolist()
|
| 1023 |
+
immutable_vector = tuple(features)
|
| 1024 |
+
if immutable_vector in self.text_vector_to_phone_cache:
|
| 1025 |
+
tokens.append(self.phone_to_id[self.text_vector_to_phone_cache[immutable_vector]])
|
| 1026 |
+
continue
|
| 1027 |
+
features = features[13:]
|
| 1028 |
+
# the first 12 dimensions are for modifiers, so we ignore those when trying to find the phoneme in the ID lookup
|
| 1029 |
+
for index in range(len(features)):
|
| 1030 |
+
if features[index] == 2:
|
| 1031 |
+
# we remove all features that stem from a modifier, so we can map back to the unmodified sound
|
| 1032 |
+
features[index] = 0
|
| 1033 |
+
for phone in self.phone_to_vector:
|
| 1034 |
+
if features == self.phone_to_vector[phone][13:]:
|
| 1035 |
+
tokens.append(self.phone_to_id[phone])
|
| 1036 |
+
self.text_vector_to_phone_cache[immutable_vector] = phone
|
| 1037 |
+
# this is terribly inefficient, but it's fine, since we're building a cache over time that makes this instant
|
| 1038 |
+
break
|
| 1039 |
+
return tokens
|
| 1040 |
+
|
| 1041 |
+
|
| 1042 |
+
def english_text_expansion(text):
|
| 1043 |
+
"""
|
| 1044 |
+
Apply as small part of the tacotron style text cleaning pipeline, suitable for e.g. LJSpeech.
|
| 1045 |
+
See https://github.com/keithito/tacotron/
|
| 1046 |
+
Careful: Only apply to english datasets. Different languages need different cleaners.
|
| 1047 |
+
"""
|
| 1048 |
+
_abbreviations = [(re.compile('\\b%s\\.' % x[0], re.IGNORECASE), x[1]) for x in
|
| 1049 |
+
[('Mrs.', 'misess'), ('Mr.', 'mister'), ('Dr.', 'doctor'), ('St.', 'saint'), ('Co.', 'company'), ('Jr.', 'junior'), ('Maj.', 'major'),
|
| 1050 |
+
('Gen.', 'general'), ('Drs.', 'doctors'), ('Rev.', 'reverend'), ('Lt.', 'lieutenant'), ('Hon.', 'honorable'), ('Sgt.', 'sergeant'),
|
| 1051 |
+
('Capt.', 'captain'), ('Esq.', 'esquire'), ('Ltd.', 'limited'), ('Col.', 'colonel'), ('Ft.', 'fort')]]
|
| 1052 |
+
for regex, replacement in _abbreviations:
|
| 1053 |
+
text = re.sub(regex, replacement, text)
|
| 1054 |
+
return text
|
| 1055 |
+
|
| 1056 |
+
|
| 1057 |
+
def remove_french_spacing(text):
|
| 1058 |
+
text = text.replace(" »", '"').replace("« ", '"')
|
| 1059 |
+
for punc in ["!", ";", ":", ".", ",", "?", "-"]:
|
| 1060 |
+
text = text.replace(f" {punc}", punc)
|
| 1061 |
+
return text
|
| 1062 |
+
|
| 1063 |
+
|
| 1064 |
+
def convert_kanji_to_pinyin_mandarin(text):
|
| 1065 |
+
return " ".join([x[0] for x in pinyin(text)])
|
| 1066 |
+
|
| 1067 |
+
|
| 1068 |
+
def get_language_id(language, iso_lookup_path="./iso_lookup.json"):
|
| 1069 |
+
iso_codes_to_ids = load_json_from_path(iso_lookup_path)[-1]
|
| 1070 |
+
if language not in iso_codes_to_ids:
|
| 1071 |
+
print("Please specify the language as ISO 639-3 code (https://en.wikipedia.org/wiki/List_of_ISO_639-3_codes)")
|
| 1072 |
+
return None
|
| 1073 |
+
return torch.LongTensor([iso_codes_to_ids[language]])
|
articulatory_features.py
ADDED
|
@@ -0,0 +1,966 @@
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|
| 1 |
+
# -*- coding: utf-8 -*-
|
| 2 |
+
|
| 3 |
+
|
| 4 |
+
# partly derived from an open-source resource provided by Papercup Technologies Limited
|
| 5 |
+
# Resource-Author: Marlene Staib
|
| 6 |
+
# Modified by Florian Lux, 2021
|
| 7 |
+
# Further modified by Florian Lux, 2022
|
| 8 |
+
|
| 9 |
+
|
| 10 |
+
"""
|
| 11 |
+
All phonemes in the IPA standard are supported.
|
| 12 |
+
|
| 13 |
+
zero-width characters are generally not supported, as
|
| 14 |
+
well as some other modifiers. Tone, stress and
|
| 15 |
+
lengthening are represented with placeholder dimensions,
|
| 16 |
+
however they need to be set manually, this conversion
|
| 17 |
+
from phonemes to features works on a character by
|
| 18 |
+
character basis. In a few cases, the place of
|
| 19 |
+
articulation is approximated because only one phoneme
|
| 20 |
+
had such a combination, which does not warrant a new
|
| 21 |
+
dimension.
|
| 22 |
+
"""
|
| 23 |
+
|
| 24 |
+
|
| 25 |
+
def generate_feature_lookup():
|
| 26 |
+
return {
|
| 27 |
+
'~': {'symbol_type': 'silence'},
|
| 28 |
+
'#': {'symbol_type': 'end of sentence'},
|
| 29 |
+
'?': {'symbol_type': 'questionmark'},
|
| 30 |
+
'!': {'symbol_type': 'exclamationmark'},
|
| 31 |
+
'.': {'symbol_type': 'fullstop'},
|
| 32 |
+
' ': {'symbol_type': 'word-boundary'},
|
| 33 |
+
'ɜ': {
|
| 34 |
+
'symbol_type' : 'phoneme',
|
| 35 |
+
'vowel_consonant' : 'vowel',
|
| 36 |
+
'VUV' : 'voiced',
|
| 37 |
+
'vowel_frontness' : 'central',
|
| 38 |
+
'vowel_openness' : 'open-mid',
|
| 39 |
+
'vowel_roundedness': 'unrounded',
|
| 40 |
+
},
|
| 41 |
+
'ə': {
|
| 42 |
+
'symbol_type' : 'phoneme',
|
| 43 |
+
'vowel_consonant' : 'vowel',
|
| 44 |
+
'VUV' : 'voiced',
|
| 45 |
+
'vowel_frontness' : 'central',
|
| 46 |
+
'vowel_openness' : 'mid',
|
| 47 |
+
'vowel_roundedness': 'unrounded',
|
| 48 |
+
},
|
| 49 |
+
'a': {
|
| 50 |
+
'symbol_type' : 'phoneme',
|
| 51 |
+
'vowel_consonant' : 'vowel',
|
| 52 |
+
'VUV' : 'voiced',
|
| 53 |
+
'vowel_frontness' : 'front',
|
| 54 |
+
'vowel_openness' : 'open',
|
| 55 |
+
'vowel_roundedness': 'unrounded',
|
| 56 |
+
},
|
| 57 |
+
'ð': {
|
| 58 |
+
'symbol_type' : 'phoneme',
|
| 59 |
+
'vowel_consonant' : 'consonant',
|
| 60 |
+
'VUV' : 'voiced',
|
| 61 |
+
'consonant_place' : 'dental',
|
| 62 |
+
'consonant_manner': 'fricative'
|
| 63 |
+
},
|
| 64 |
+
'ɛ': {
|
| 65 |
+
'symbol_type' : 'phoneme',
|
| 66 |
+
'vowel_consonant' : 'vowel',
|
| 67 |
+
'VUV' : 'voiced',
|
| 68 |
+
'vowel_frontness' : 'front',
|
| 69 |
+
'vowel_openness' : 'open-mid',
|
| 70 |
+
'vowel_roundedness': 'unrounded',
|
| 71 |
+
},
|
| 72 |
+
'ɪ': {
|
| 73 |
+
'symbol_type' : 'phoneme',
|
| 74 |
+
'vowel_consonant' : 'vowel',
|
| 75 |
+
'VUV' : 'voiced',
|
| 76 |
+
'vowel_frontness' : 'front_central',
|
| 77 |
+
'vowel_openness' : 'close_close-mid',
|
| 78 |
+
'vowel_roundedness': 'unrounded',
|
| 79 |
+
},
|
| 80 |
+
'ŋ': {
|
| 81 |
+
'symbol_type' : 'phoneme',
|
| 82 |
+
'vowel_consonant' : 'consonant',
|
| 83 |
+
'VUV' : 'voiced',
|
| 84 |
+
'consonant_place' : 'velar',
|
| 85 |
+
'consonant_manner': 'nasal'
|
| 86 |
+
},
|
| 87 |
+
'ɔ': {
|
| 88 |
+
'symbol_type' : 'phoneme',
|
| 89 |
+
'vowel_consonant' : 'vowel',
|
| 90 |
+
'VUV' : 'voiced',
|
| 91 |
+
'vowel_frontness' : 'back',
|
| 92 |
+
'vowel_openness' : 'open-mid',
|
| 93 |
+
'vowel_roundedness': 'rounded',
|
| 94 |
+
},
|
| 95 |
+
'ɒ': {
|
| 96 |
+
'symbol_type' : 'phoneme',
|
| 97 |
+
'vowel_consonant' : 'vowel',
|
| 98 |
+
'VUV' : 'voiced',
|
| 99 |
+
'vowel_frontness' : 'back',
|
| 100 |
+
'vowel_openness' : 'open',
|
| 101 |
+
'vowel_roundedness': 'rounded',
|
| 102 |
+
},
|
| 103 |
+
'ɾ': {
|
| 104 |
+
'symbol_type' : 'phoneme',
|
| 105 |
+
'vowel_consonant' : 'consonant',
|
| 106 |
+
'VUV' : 'voiced',
|
| 107 |
+
'consonant_place' : 'alveolar',
|
| 108 |
+
'consonant_manner': 'flap'
|
| 109 |
+
},
|
| 110 |
+
'ʃ': {
|
| 111 |
+
'symbol_type' : 'phoneme',
|
| 112 |
+
'vowel_consonant' : 'consonant',
|
| 113 |
+
'VUV' : 'unvoiced',
|
| 114 |
+
'consonant_place' : 'postalveolar',
|
| 115 |
+
'consonant_manner': 'fricative'
|
| 116 |
+
},
|
| 117 |
+
'θ': {
|
| 118 |
+
'symbol_type' : 'phoneme',
|
| 119 |
+
'vowel_consonant' : 'consonant',
|
| 120 |
+
'VUV' : 'unvoiced',
|
| 121 |
+
'consonant_place' : 'dental',
|
| 122 |
+
'consonant_manner': 'fricative'
|
| 123 |
+
},
|
| 124 |
+
'ʊ': {
|
| 125 |
+
'symbol_type' : 'phoneme',
|
| 126 |
+
'vowel_consonant' : 'vowel',
|
| 127 |
+
'VUV' : 'voiced',
|
| 128 |
+
'vowel_frontness' : 'central_back',
|
| 129 |
+
'vowel_openness' : 'close_close-mid',
|
| 130 |
+
'vowel_roundedness': 'unrounded'
|
| 131 |
+
},
|
| 132 |
+
'ʌ': {
|
| 133 |
+
'symbol_type' : 'phoneme',
|
| 134 |
+
'vowel_consonant' : 'vowel',
|
| 135 |
+
'VUV' : 'voiced',
|
| 136 |
+
'vowel_frontness' : 'back',
|
| 137 |
+
'vowel_openness' : 'open-mid',
|
| 138 |
+
'vowel_roundedness': 'unrounded'
|
| 139 |
+
},
|
| 140 |
+
'ʒ': {
|
| 141 |
+
'symbol_type' : 'phoneme',
|
| 142 |
+
'vowel_consonant' : 'consonant',
|
| 143 |
+
'VUV' : 'voiced',
|
| 144 |
+
'consonant_place' : 'postalveolar',
|
| 145 |
+
'consonant_manner': 'fricative'
|
| 146 |
+
},
|
| 147 |
+
'æ': {
|
| 148 |
+
'symbol_type' : 'phoneme',
|
| 149 |
+
'vowel_consonant' : 'vowel',
|
| 150 |
+
'VUV' : 'voiced',
|
| 151 |
+
'vowel_frontness' : 'front',
|
| 152 |
+
'vowel_openness' : 'open-mid_open',
|
| 153 |
+
'vowel_roundedness': 'unrounded'
|
| 154 |
+
},
|
| 155 |
+
'b': {
|
| 156 |
+
'symbol_type' : 'phoneme',
|
| 157 |
+
'vowel_consonant' : 'consonant',
|
| 158 |
+
'VUV' : 'voiced',
|
| 159 |
+
'consonant_place' : 'bilabial',
|
| 160 |
+
'consonant_manner': 'plosive'
|
| 161 |
+
},
|
| 162 |
+
'ʔ': {
|
| 163 |
+
'symbol_type' : 'phoneme',
|
| 164 |
+
'vowel_consonant' : 'consonant',
|
| 165 |
+
'VUV' : 'unvoiced',
|
| 166 |
+
'consonant_place' : 'glottal',
|
| 167 |
+
'consonant_manner': 'plosive'
|
| 168 |
+
},
|
| 169 |
+
'd': {
|
| 170 |
+
'symbol_type' : 'phoneme',
|
| 171 |
+
'vowel_consonant' : 'consonant',
|
| 172 |
+
'VUV' : 'voiced',
|
| 173 |
+
'consonant_place' : 'alveolar',
|
| 174 |
+
'consonant_manner': 'plosive'
|
| 175 |
+
},
|
| 176 |
+
'e': {
|
| 177 |
+
'symbol_type' : 'phoneme',
|
| 178 |
+
'vowel_consonant' : 'vowel',
|
| 179 |
+
'VUV' : 'voiced',
|
| 180 |
+
'vowel_frontness' : 'front',
|
| 181 |
+
'vowel_openness' : 'close-mid',
|
| 182 |
+
'vowel_roundedness': 'unrounded'
|
| 183 |
+
},
|
| 184 |
+
'f': {
|
| 185 |
+
'symbol_type' : 'phoneme',
|
| 186 |
+
'vowel_consonant' : 'consonant',
|
| 187 |
+
'VUV' : 'unvoiced',
|
| 188 |
+
'consonant_place' : 'labiodental',
|
| 189 |
+
'consonant_manner': 'fricative'
|
| 190 |
+
},
|
| 191 |
+
'ɡ': {
|
| 192 |
+
'symbol_type' : 'phoneme',
|
| 193 |
+
'vowel_consonant' : 'consonant',
|
| 194 |
+
'VUV' : 'voiced',
|
| 195 |
+
'consonant_place' : 'velar',
|
| 196 |
+
'consonant_manner': 'plosive'
|
| 197 |
+
},
|
| 198 |
+
'h': {
|
| 199 |
+
'symbol_type' : 'phoneme',
|
| 200 |
+
'vowel_consonant' : 'consonant',
|
| 201 |
+
'VUV' : 'unvoiced',
|
| 202 |
+
'consonant_place' : 'glottal',
|
| 203 |
+
'consonant_manner': 'fricative'
|
| 204 |
+
},
|
| 205 |
+
'i': {
|
| 206 |
+
'symbol_type' : 'phoneme',
|
| 207 |
+
'vowel_consonant' : 'vowel',
|
| 208 |
+
'VUV' : 'voiced',
|
| 209 |
+
'vowel_frontness' : 'front',
|
| 210 |
+
'vowel_openness' : 'close',
|
| 211 |
+
'vowel_roundedness': 'unrounded'
|
| 212 |
+
},
|
| 213 |
+
'j': {
|
| 214 |
+
'symbol_type' : 'phoneme',
|
| 215 |
+
'vowel_consonant' : 'consonant',
|
| 216 |
+
'VUV' : 'voiced',
|
| 217 |
+
'consonant_place' : 'palatal',
|
| 218 |
+
'consonant_manner': 'approximant'
|
| 219 |
+
},
|
| 220 |
+
'k': {
|
| 221 |
+
'symbol_type' : 'phoneme',
|
| 222 |
+
'vowel_consonant' : 'consonant',
|
| 223 |
+
'VUV' : 'unvoiced',
|
| 224 |
+
'consonant_place' : 'velar',
|
| 225 |
+
'consonant_manner': 'plosive'
|
| 226 |
+
},
|
| 227 |
+
'l': {
|
| 228 |
+
'symbol_type' : 'phoneme',
|
| 229 |
+
'vowel_consonant' : 'consonant',
|
| 230 |
+
'VUV' : 'voiced',
|
| 231 |
+
'consonant_place' : 'alveolar',
|
| 232 |
+
'consonant_manner': 'lateral-approximant'
|
| 233 |
+
},
|
| 234 |
+
'm': {
|
| 235 |
+
'symbol_type' : 'phoneme',
|
| 236 |
+
'vowel_consonant' : 'consonant',
|
| 237 |
+
'VUV' : 'voiced',
|
| 238 |
+
'consonant_place' : 'bilabial',
|
| 239 |
+
'consonant_manner': 'nasal'
|
| 240 |
+
},
|
| 241 |
+
'n': {
|
| 242 |
+
'symbol_type' : 'phoneme',
|
| 243 |
+
'vowel_consonant' : 'consonant',
|
| 244 |
+
'VUV' : 'voiced',
|
| 245 |
+
'consonant_place' : 'alveolar',
|
| 246 |
+
'consonant_manner': 'nasal'
|
| 247 |
+
},
|
| 248 |
+
'ɳ': {
|
| 249 |
+
'symbol_type' : 'phoneme',
|
| 250 |
+
'vowel_consonant' : 'consonant',
|
| 251 |
+
'VUV' : 'voiced',
|
| 252 |
+
'consonant_place' : 'retroflex',
|
| 253 |
+
'consonant_manner': 'nasal'
|
| 254 |
+
},
|
| 255 |
+
'o': {
|
| 256 |
+
'symbol_type' : 'phoneme',
|
| 257 |
+
'vowel_consonant' : 'vowel',
|
| 258 |
+
'VUV' : 'voiced',
|
| 259 |
+
'vowel_frontness' : 'back',
|
| 260 |
+
'vowel_openness' : 'close-mid',
|
| 261 |
+
'vowel_roundedness': 'rounded'
|
| 262 |
+
},
|
| 263 |
+
'p': {
|
| 264 |
+
'symbol_type' : 'phoneme',
|
| 265 |
+
'vowel_consonant' : 'consonant',
|
| 266 |
+
'VUV' : 'unvoiced',
|
| 267 |
+
'consonant_place' : 'bilabial',
|
| 268 |
+
'consonant_manner': 'plosive'
|
| 269 |
+
},
|
| 270 |
+
'ɹ': {
|
| 271 |
+
'symbol_type' : 'phoneme',
|
| 272 |
+
'vowel_consonant' : 'consonant',
|
| 273 |
+
'VUV' : 'voiced',
|
| 274 |
+
'consonant_place' : 'alveolar',
|
| 275 |
+
'consonant_manner': 'approximant'
|
| 276 |
+
},
|
| 277 |
+
'r': {
|
| 278 |
+
'symbol_type' : 'phoneme',
|
| 279 |
+
'vowel_consonant' : 'consonant',
|
| 280 |
+
'VUV' : 'voiced',
|
| 281 |
+
'consonant_place' : 'alveolar',
|
| 282 |
+
'consonant_manner': 'trill'
|
| 283 |
+
},
|
| 284 |
+
's': {
|
| 285 |
+
'symbol_type' : 'phoneme',
|
| 286 |
+
'vowel_consonant' : 'consonant',
|
| 287 |
+
'VUV' : 'unvoiced',
|
| 288 |
+
'consonant_place' : 'alveolar',
|
| 289 |
+
'consonant_manner': 'fricative'
|
| 290 |
+
},
|
| 291 |
+
't': {
|
| 292 |
+
'symbol_type' : 'phoneme',
|
| 293 |
+
'vowel_consonant' : 'consonant',
|
| 294 |
+
'VUV' : 'unvoiced',
|
| 295 |
+
'consonant_place' : 'alveolar',
|
| 296 |
+
'consonant_manner': 'plosive'
|
| 297 |
+
},
|
| 298 |
+
'u': {
|
| 299 |
+
'symbol_type' : 'phoneme',
|
| 300 |
+
'vowel_consonant' : 'vowel',
|
| 301 |
+
'VUV' : 'voiced',
|
| 302 |
+
'vowel_frontness' : 'back',
|
| 303 |
+
'vowel_openness' : 'close',
|
| 304 |
+
'vowel_roundedness': 'rounded',
|
| 305 |
+
},
|
| 306 |
+
'v': {
|
| 307 |
+
'symbol_type' : 'phoneme',
|
| 308 |
+
'vowel_consonant' : 'consonant',
|
| 309 |
+
'VUV' : 'voiced',
|
| 310 |
+
'consonant_place' : 'labiodental',
|
| 311 |
+
'consonant_manner': 'fricative'
|
| 312 |
+
},
|
| 313 |
+
'w': {
|
| 314 |
+
'symbol_type' : 'phoneme',
|
| 315 |
+
'vowel_consonant' : 'consonant',
|
| 316 |
+
'VUV' : 'voiced',
|
| 317 |
+
'consonant_place' : 'labial-velar',
|
| 318 |
+
'consonant_manner': 'approximant'
|
| 319 |
+
},
|
| 320 |
+
'x': {
|
| 321 |
+
'symbol_type' : 'phoneme',
|
| 322 |
+
'vowel_consonant' : 'consonant',
|
| 323 |
+
'VUV' : 'unvoiced',
|
| 324 |
+
'consonant_place' : 'velar',
|
| 325 |
+
'consonant_manner': 'fricative'
|
| 326 |
+
},
|
| 327 |
+
'z': {
|
| 328 |
+
'symbol_type' : 'phoneme',
|
| 329 |
+
'vowel_consonant' : 'consonant',
|
| 330 |
+
'VUV' : 'voiced',
|
| 331 |
+
'consonant_place' : 'alveolar',
|
| 332 |
+
'consonant_manner': 'fricative'
|
| 333 |
+
},
|
| 334 |
+
'ʀ': {
|
| 335 |
+
'symbol_type' : 'phoneme',
|
| 336 |
+
'vowel_consonant' : 'consonant',
|
| 337 |
+
'VUV' : 'voiced',
|
| 338 |
+
'consonant_place' : 'uvular',
|
| 339 |
+
'consonant_manner': 'trill'
|
| 340 |
+
},
|
| 341 |
+
'ø': {
|
| 342 |
+
'symbol_type' : 'phoneme',
|
| 343 |
+
'vowel_consonant' : 'vowel',
|
| 344 |
+
'VUV' : 'voiced',
|
| 345 |
+
'vowel_frontness' : 'front',
|
| 346 |
+
'vowel_openness' : 'close-mid',
|
| 347 |
+
'vowel_roundedness': 'rounded'
|
| 348 |
+
},
|
| 349 |
+
'ç': {
|
| 350 |
+
'symbol_type' : 'phoneme',
|
| 351 |
+
'vowel_consonant' : 'consonant',
|
| 352 |
+
'VUV' : 'unvoiced',
|
| 353 |
+
'consonant_place' : 'palatal',
|
| 354 |
+
'consonant_manner': 'fricative'
|
| 355 |
+
},
|
| 356 |
+
'ɐ': {
|
| 357 |
+
'symbol_type' : 'phoneme',
|
| 358 |
+
'vowel_consonant' : 'vowel',
|
| 359 |
+
'VUV' : 'voiced',
|
| 360 |
+
'vowel_frontness' : 'central',
|
| 361 |
+
'vowel_openness' : 'open',
|
| 362 |
+
'vowel_roundedness': 'unrounded'
|
| 363 |
+
},
|
| 364 |
+
'œ': {
|
| 365 |
+
'symbol_type' : 'phoneme',
|
| 366 |
+
'vowel_consonant' : 'vowel',
|
| 367 |
+
'VUV' : 'voiced',
|
| 368 |
+
'vowel_frontness' : 'front',
|
| 369 |
+
'vowel_openness' : 'open-mid',
|
| 370 |
+
'vowel_roundedness': 'rounded'
|
| 371 |
+
},
|
| 372 |
+
'y': {
|
| 373 |
+
'symbol_type' : 'phoneme',
|
| 374 |
+
'vowel_consonant' : 'vowel',
|
| 375 |
+
'VUV' : 'voiced',
|
| 376 |
+
'vowel_frontness' : 'front',
|
| 377 |
+
'vowel_openness' : 'close',
|
| 378 |
+
'vowel_roundedness': 'rounded'
|
| 379 |
+
},
|
| 380 |
+
'ʏ': {
|
| 381 |
+
'symbol_type' : 'phoneme',
|
| 382 |
+
'vowel_consonant' : 'vowel',
|
| 383 |
+
'VUV' : 'voiced',
|
| 384 |
+
'vowel_frontness' : 'front_central',
|
| 385 |
+
'vowel_openness' : 'close_close-mid',
|
| 386 |
+
'vowel_roundedness': 'rounded'
|
| 387 |
+
},
|
| 388 |
+
'ɑ': {
|
| 389 |
+
'symbol_type' : 'phoneme',
|
| 390 |
+
'vowel_consonant' : 'vowel',
|
| 391 |
+
'VUV' : 'voiced',
|
| 392 |
+
'vowel_frontness' : 'back',
|
| 393 |
+
'vowel_openness' : 'open',
|
| 394 |
+
'vowel_roundedness': 'unrounded'
|
| 395 |
+
},
|
| 396 |
+
'c': {
|
| 397 |
+
'symbol_type' : 'phoneme',
|
| 398 |
+
'vowel_consonant' : 'consonant',
|
| 399 |
+
'VUV' : 'unvoiced',
|
| 400 |
+
'consonant_place' : 'palatal',
|
| 401 |
+
'consonant_manner': 'plosive'
|
| 402 |
+
},
|
| 403 |
+
'ɲ': {
|
| 404 |
+
'symbol_type' : 'phoneme',
|
| 405 |
+
'vowel_consonant' : 'consonant',
|
| 406 |
+
'VUV' : 'voiced',
|
| 407 |
+
'consonant_place' : 'palatal',
|
| 408 |
+
'consonant_manner': 'nasal'
|
| 409 |
+
},
|
| 410 |
+
'ɣ': {
|
| 411 |
+
'symbol_type' : 'phoneme',
|
| 412 |
+
'vowel_consonant' : 'consonant',
|
| 413 |
+
'VUV' : 'voiced',
|
| 414 |
+
'consonant_place' : 'velar',
|
| 415 |
+
'consonant_manner': 'fricative'
|
| 416 |
+
},
|
| 417 |
+
'ʎ': {
|
| 418 |
+
'symbol_type' : 'phoneme',
|
| 419 |
+
'vowel_consonant' : 'consonant',
|
| 420 |
+
'VUV' : 'voiced',
|
| 421 |
+
'consonant_place' : 'palatal',
|
| 422 |
+
'consonant_manner': 'lateral-approximant'
|
| 423 |
+
},
|
| 424 |
+
'β': {
|
| 425 |
+
'symbol_type' : 'phoneme',
|
| 426 |
+
'vowel_consonant' : 'consonant',
|
| 427 |
+
'VUV' : 'voiced',
|
| 428 |
+
'consonant_place' : 'bilabial',
|
| 429 |
+
'consonant_manner': 'fricative'
|
| 430 |
+
},
|
| 431 |
+
'ʝ': {
|
| 432 |
+
'symbol_type' : 'phoneme',
|
| 433 |
+
'vowel_consonant' : 'consonant',
|
| 434 |
+
'VUV' : 'voiced',
|
| 435 |
+
'consonant_place' : 'palatal',
|
| 436 |
+
'consonant_manner': 'fricative'
|
| 437 |
+
},
|
| 438 |
+
'ɟ': {
|
| 439 |
+
'symbol_type' : 'phoneme',
|
| 440 |
+
'vowel_consonant' : 'consonant',
|
| 441 |
+
'VUV' : 'voiced',
|
| 442 |
+
'consonant_place' : 'palatal',
|
| 443 |
+
'consonant_manner': 'plosive'
|
| 444 |
+
},
|
| 445 |
+
'q': {
|
| 446 |
+
'symbol_type' : 'phoneme',
|
| 447 |
+
'vowel_consonant' : 'consonant',
|
| 448 |
+
'VUV' : 'unvoiced',
|
| 449 |
+
'consonant_place' : 'uvular',
|
| 450 |
+
'consonant_manner': 'plosive'
|
| 451 |
+
},
|
| 452 |
+
'ɕ': {
|
| 453 |
+
'symbol_type' : 'phoneme',
|
| 454 |
+
'vowel_consonant' : 'consonant',
|
| 455 |
+
'VUV' : 'unvoiced',
|
| 456 |
+
'consonant_place' : 'alveolopalatal',
|
| 457 |
+
'consonant_manner': 'fricative'
|
| 458 |
+
},
|
| 459 |
+
'ɭ': {
|
| 460 |
+
'symbol_type' : 'phoneme',
|
| 461 |
+
'vowel_consonant' : 'consonant',
|
| 462 |
+
'VUV' : 'voiced',
|
| 463 |
+
'consonant_place' : 'retroflex',
|
| 464 |
+
'consonant_manner': 'lateral-approximant'
|
| 465 |
+
},
|
| 466 |
+
'ɵ': {
|
| 467 |
+
'symbol_type' : 'phoneme',
|
| 468 |
+
'vowel_consonant' : 'vowel',
|
| 469 |
+
'VUV' : 'voiced',
|
| 470 |
+
'vowel_frontness' : 'central',
|
| 471 |
+
'vowel_openness' : 'close-mid',
|
| 472 |
+
'vowel_roundedness': 'rounded'
|
| 473 |
+
},
|
| 474 |
+
'ʑ': {
|
| 475 |
+
'symbol_type' : 'phoneme',
|
| 476 |
+
'vowel_consonant' : 'consonant',
|
| 477 |
+
'VUV' : 'voiced',
|
| 478 |
+
'consonant_place' : 'alveolopalatal',
|
| 479 |
+
'consonant_manner': 'fricative'
|
| 480 |
+
},
|
| 481 |
+
'ʋ': {
|
| 482 |
+
'symbol_type' : 'phoneme',
|
| 483 |
+
'vowel_consonant' : 'consonant',
|
| 484 |
+
'VUV' : 'voiced',
|
| 485 |
+
'consonant_place' : 'labiodental',
|
| 486 |
+
'consonant_manner': 'approximant'
|
| 487 |
+
},
|
| 488 |
+
'ʁ': {
|
| 489 |
+
'symbol_type' : 'phoneme',
|
| 490 |
+
'vowel_consonant' : 'consonant',
|
| 491 |
+
'VUV' : 'voiced',
|
| 492 |
+
'consonant_place' : 'uvular',
|
| 493 |
+
'consonant_manner': 'fricative'
|
| 494 |
+
},
|
| 495 |
+
'ɨ': {
|
| 496 |
+
'symbol_type' : 'phoneme',
|
| 497 |
+
'vowel_consonant' : 'vowel',
|
| 498 |
+
'VUV' : 'voiced',
|
| 499 |
+
'vowel_frontness' : 'central',
|
| 500 |
+
'vowel_openness' : 'close',
|
| 501 |
+
'vowel_roundedness': 'unrounded'
|
| 502 |
+
},
|
| 503 |
+
'ʂ': {
|
| 504 |
+
'symbol_type' : 'phoneme',
|
| 505 |
+
'vowel_consonant' : 'consonant',
|
| 506 |
+
'VUV' : 'unvoiced',
|
| 507 |
+
'consonant_place' : 'retroflex',
|
| 508 |
+
'consonant_manner': 'fricative'
|
| 509 |
+
},
|
| 510 |
+
'ɓ': {
|
| 511 |
+
'symbol_type' : 'phoneme',
|
| 512 |
+
'vowel_consonant' : 'consonant',
|
| 513 |
+
'VUV' : 'voiced',
|
| 514 |
+
'consonant_place' : 'bilabial',
|
| 515 |
+
'consonant_manner': 'implosive'
|
| 516 |
+
},
|
| 517 |
+
'ʙ': {
|
| 518 |
+
'symbol_type' : 'phoneme',
|
| 519 |
+
'vowel_consonant' : 'consonant',
|
| 520 |
+
'VUV' : 'voiced',
|
| 521 |
+
'consonant_place' : 'bilabial',
|
| 522 |
+
'consonant_manner': 'vibrant'
|
| 523 |
+
},
|
| 524 |
+
'ɗ': {
|
| 525 |
+
'symbol_type' : 'phoneme',
|
| 526 |
+
'vowel_consonant' : 'consonant',
|
| 527 |
+
'VUV' : 'voiced',
|
| 528 |
+
'consonant_place' : 'dental',
|
| 529 |
+
'consonant_manner': 'implosive'
|
| 530 |
+
},
|
| 531 |
+
'ɖ': {
|
| 532 |
+
'symbol_type' : 'phoneme',
|
| 533 |
+
'vowel_consonant' : 'consonant',
|
| 534 |
+
'VUV' : 'voiced',
|
| 535 |
+
'consonant_place' : 'retroflex',
|
| 536 |
+
'consonant_manner': 'plosive'
|
| 537 |
+
},
|
| 538 |
+
'χ': {
|
| 539 |
+
'symbol_type' : 'phoneme',
|
| 540 |
+
'vowel_consonant' : 'consonant',
|
| 541 |
+
'VUV' : 'unvoiced',
|
| 542 |
+
'consonant_place' : 'uvular',
|
| 543 |
+
'consonant_manner': 'fricative'
|
| 544 |
+
},
|
| 545 |
+
'ʛ': {
|
| 546 |
+
'symbol_type' : 'phoneme',
|
| 547 |
+
'vowel_consonant' : 'consonant',
|
| 548 |
+
'VUV' : 'voiced',
|
| 549 |
+
'consonant_place' : 'uvular',
|
| 550 |
+
'consonant_manner': 'implosive'
|
| 551 |
+
},
|
| 552 |
+
'ʟ': {
|
| 553 |
+
'symbol_type' : 'phoneme',
|
| 554 |
+
'vowel_consonant' : 'consonant',
|
| 555 |
+
'VUV' : 'voiced',
|
| 556 |
+
'consonant_place' : 'velar',
|
| 557 |
+
'consonant_manner': 'lateral-approximant'
|
| 558 |
+
},
|
| 559 |
+
'ɽ': {
|
| 560 |
+
'symbol_type' : 'phoneme',
|
| 561 |
+
'vowel_consonant' : 'consonant',
|
| 562 |
+
'VUV' : 'voiced',
|
| 563 |
+
'consonant_place' : 'retroflex',
|
| 564 |
+
'consonant_manner': 'flap'
|
| 565 |
+
},
|
| 566 |
+
'ɢ': {
|
| 567 |
+
'symbol_type' : 'phoneme',
|
| 568 |
+
'vowel_consonant' : 'consonant',
|
| 569 |
+
'VUV' : 'voiced',
|
| 570 |
+
'consonant_place' : 'uvular',
|
| 571 |
+
'consonant_manner': 'plosive'
|
| 572 |
+
},
|
| 573 |
+
'ɠ': {
|
| 574 |
+
'symbol_type' : 'phoneme',
|
| 575 |
+
'vowel_consonant' : 'consonant',
|
| 576 |
+
'VUV' : 'voiced',
|
| 577 |
+
'consonant_place' : 'velar',
|
| 578 |
+
'consonant_manner': 'implosive'
|
| 579 |
+
},
|
| 580 |
+
'ǂ': {
|
| 581 |
+
'symbol_type' : 'phoneme',
|
| 582 |
+
'vowel_consonant' : 'consonant',
|
| 583 |
+
'VUV' : 'unvoiced',
|
| 584 |
+
'consonant_place' : 'alveolopalatal',
|
| 585 |
+
'consonant_manner': 'click'
|
| 586 |
+
},
|
| 587 |
+
'ɦ': {
|
| 588 |
+
'symbol_type' : 'phoneme',
|
| 589 |
+
'vowel_consonant' : 'consonant',
|
| 590 |
+
'VUV' : 'voiced',
|
| 591 |
+
'consonant_place' : 'glottal',
|
| 592 |
+
'consonant_manner': 'fricative'
|
| 593 |
+
},
|
| 594 |
+
'ǁ': {
|
| 595 |
+
'symbol_type' : 'phoneme',
|
| 596 |
+
'vowel_consonant' : 'consonant',
|
| 597 |
+
'VUV' : 'unvoiced',
|
| 598 |
+
'consonant_place' : 'alveolar',
|
| 599 |
+
'consonant_manner': 'click'
|
| 600 |
+
},
|
| 601 |
+
'ĩ': { # identical description with i except nasal
|
| 602 |
+
'symbol_type' : 'phoneme',
|
| 603 |
+
'vowel_consonant' : 'vowel',
|
| 604 |
+
'VUV' : 'voiced',
|
| 605 |
+
'vowel_frontness' : 'front',
|
| 606 |
+
'vowel_openness' : 'close',
|
| 607 |
+
'vowel_roundedness': 'unrounded',
|
| 608 |
+
'consonant_manner' : 'nasal'
|
| 609 |
+
},
|
| 610 |
+
'ʍ': {
|
| 611 |
+
'symbol_type' : 'phoneme',
|
| 612 |
+
'vowel_consonant' : 'consonant',
|
| 613 |
+
'VUV' : 'unvoiced',
|
| 614 |
+
'consonant_place' : 'labial-velar',
|
| 615 |
+
'consonant_manner': 'fricative'
|
| 616 |
+
},
|
| 617 |
+
'ʕ': {
|
| 618 |
+
'symbol_type' : 'phoneme',
|
| 619 |
+
'vowel_consonant' : 'consonant',
|
| 620 |
+
'VUV' : 'voiced',
|
| 621 |
+
'consonant_place' : 'pharyngal',
|
| 622 |
+
'consonant_manner': 'fricative'
|
| 623 |
+
},
|
| 624 |
+
'ɻ': {
|
| 625 |
+
'symbol_type' : 'phoneme',
|
| 626 |
+
'vowel_consonant' : 'consonant',
|
| 627 |
+
'VUV' : 'unvoiced',
|
| 628 |
+
'consonant_place' : 'retroflex',
|
| 629 |
+
'consonant_manner': 'approximant'
|
| 630 |
+
},
|
| 631 |
+
'ʄ': {
|
| 632 |
+
'symbol_type' : 'phoneme',
|
| 633 |
+
'vowel_consonant' : 'consonant',
|
| 634 |
+
'VUV' : 'voiced',
|
| 635 |
+
'consonant_place' : 'palatal',
|
| 636 |
+
'consonant_manner': 'implosive'
|
| 637 |
+
},
|
| 638 |
+
'ũ': { # identical with u, but nasal
|
| 639 |
+
'symbol_type' : 'phoneme',
|
| 640 |
+
'vowel_consonant' : 'vowel',
|
| 641 |
+
'VUV' : 'voiced',
|
| 642 |
+
'vowel_frontness' : 'back',
|
| 643 |
+
'vowel_openness' : 'close',
|
| 644 |
+
'vowel_roundedness': 'rounded',
|
| 645 |
+
'consonant_manner' : 'nasal'
|
| 646 |
+
},
|
| 647 |
+
'ɤ': {
|
| 648 |
+
'symbol_type' : 'phoneme',
|
| 649 |
+
'vowel_consonant' : 'vowel',
|
| 650 |
+
'VUV' : 'voiced',
|
| 651 |
+
'vowel_frontness' : 'back',
|
| 652 |
+
'vowel_openness' : 'close-mid',
|
| 653 |
+
'vowel_roundedness': 'unrounded',
|
| 654 |
+
},
|
| 655 |
+
'ɶ': {
|
| 656 |
+
'symbol_type' : 'phoneme',
|
| 657 |
+
'vowel_consonant' : 'vowel',
|
| 658 |
+
'VUV' : 'voiced',
|
| 659 |
+
'vowel_frontness' : 'front',
|
| 660 |
+
'vowel_openness' : 'open',
|
| 661 |
+
'vowel_roundedness': 'rounded',
|
| 662 |
+
},
|
| 663 |
+
'õ': {
|
| 664 |
+
'symbol_type' : 'phoneme',
|
| 665 |
+
'vowel_consonant' : 'vowel',
|
| 666 |
+
'VUV' : 'voiced',
|
| 667 |
+
'vowel_frontness' : 'back',
|
| 668 |
+
'vowel_openness' : 'close-mid',
|
| 669 |
+
'vowel_roundedness': 'rounded',
|
| 670 |
+
'consonant_manner' : 'nasal'
|
| 671 |
+
},
|
| 672 |
+
'ʡ': {
|
| 673 |
+
'symbol_type' : 'phoneme',
|
| 674 |
+
'vowel_consonant' : 'consonant',
|
| 675 |
+
'VUV' : 'unvoiced',
|
| 676 |
+
'consonant_place' : 'epiglottal',
|
| 677 |
+
'consonant_manner': 'plosive'
|
| 678 |
+
},
|
| 679 |
+
'ʈ': {
|
| 680 |
+
'symbol_type' : 'phoneme',
|
| 681 |
+
'vowel_consonant' : 'consonant',
|
| 682 |
+
'VUV' : 'unvoiced',
|
| 683 |
+
'consonant_place' : 'retroflex',
|
| 684 |
+
'consonant_manner': 'plosive'
|
| 685 |
+
},
|
| 686 |
+
'ʜ': {
|
| 687 |
+
'symbol_type' : 'phoneme',
|
| 688 |
+
'vowel_consonant' : 'consonant',
|
| 689 |
+
'VUV' : 'unvoiced',
|
| 690 |
+
'consonant_place' : 'epiglottal',
|
| 691 |
+
'consonant_manner': 'fricative'
|
| 692 |
+
},
|
| 693 |
+
'ɱ': {
|
| 694 |
+
'symbol_type' : 'phoneme',
|
| 695 |
+
'vowel_consonant' : 'consonant',
|
| 696 |
+
'VUV' : 'voiced',
|
| 697 |
+
'consonant_place' : 'labiodental',
|
| 698 |
+
'consonant_manner': 'nasal'
|
| 699 |
+
},
|
| 700 |
+
'ɯ': {
|
| 701 |
+
'symbol_type' : 'phoneme',
|
| 702 |
+
'vowel_consonant' : 'vowel',
|
| 703 |
+
'VUV' : 'voiced',
|
| 704 |
+
'vowel_frontness' : 'back',
|
| 705 |
+
'vowel_openness' : 'close',
|
| 706 |
+
'vowel_roundedness': 'unrounded'
|
| 707 |
+
},
|
| 708 |
+
'ǀ': {
|
| 709 |
+
'symbol_type' : 'phoneme',
|
| 710 |
+
'vowel_consonant' : 'consonant',
|
| 711 |
+
'VUV' : 'unvoiced',
|
| 712 |
+
'consonant_place' : 'dental',
|
| 713 |
+
'consonant_manner': 'click'
|
| 714 |
+
},
|
| 715 |
+
'ɸ': {
|
| 716 |
+
'symbol_type' : 'phoneme',
|
| 717 |
+
'vowel_consonant' : 'consonant',
|
| 718 |
+
'VUV' : 'unvoiced',
|
| 719 |
+
'consonant_place' : 'bilabial',
|
| 720 |
+
'consonant_manner': 'fricative'
|
| 721 |
+
},
|
| 722 |
+
'ʘ': {
|
| 723 |
+
'symbol_type' : 'phoneme',
|
| 724 |
+
'vowel_consonant' : 'consonant',
|
| 725 |
+
'VUV' : 'unvoiced',
|
| 726 |
+
'consonant_place' : 'bilabial',
|
| 727 |
+
'consonant_manner': 'click'
|
| 728 |
+
},
|
| 729 |
+
'ʐ': {
|
| 730 |
+
'symbol_type' : 'phoneme',
|
| 731 |
+
'vowel_consonant' : 'consonant',
|
| 732 |
+
'VUV' : 'voiced',
|
| 733 |
+
'consonant_place' : 'retroflex',
|
| 734 |
+
'consonant_manner': 'fricative'
|
| 735 |
+
},
|
| 736 |
+
'ɰ': {
|
| 737 |
+
'symbol_type' : 'phoneme',
|
| 738 |
+
'vowel_consonant' : 'consonant',
|
| 739 |
+
'VUV' : 'voiced',
|
| 740 |
+
'consonant_place' : 'velar',
|
| 741 |
+
'consonant_manner': 'approximant'
|
| 742 |
+
},
|
| 743 |
+
'ɘ': {
|
| 744 |
+
'symbol_type' : 'phoneme',
|
| 745 |
+
'vowel_consonant' : 'vowel',
|
| 746 |
+
'VUV' : 'voiced',
|
| 747 |
+
'vowel_frontness' : 'central',
|
| 748 |
+
'vowel_openness' : 'close-mid',
|
| 749 |
+
'vowel_roundedness': 'unrounded'
|
| 750 |
+
},
|
| 751 |
+
'ħ': {
|
| 752 |
+
'symbol_type' : 'phoneme',
|
| 753 |
+
'vowel_consonant' : 'consonant',
|
| 754 |
+
'VUV' : 'unvoiced',
|
| 755 |
+
'consonant_place' : 'pharyngal',
|
| 756 |
+
'consonant_manner': 'fricative'
|
| 757 |
+
},
|
| 758 |
+
'ɞ': {
|
| 759 |
+
'symbol_type' : 'phoneme',
|
| 760 |
+
'vowel_consonant' : 'vowel',
|
| 761 |
+
'VUV' : 'voiced',
|
| 762 |
+
'vowel_frontness' : 'central',
|
| 763 |
+
'vowel_openness' : 'open-mid',
|
| 764 |
+
'vowel_roundedness': 'rounded'
|
| 765 |
+
},
|
| 766 |
+
'ʉ': {
|
| 767 |
+
'symbol_type' : 'phoneme',
|
| 768 |
+
'vowel_consonant' : 'vowel',
|
| 769 |
+
'VUV' : 'voiced',
|
| 770 |
+
'vowel_frontness' : 'central',
|
| 771 |
+
'vowel_openness' : 'close',
|
| 772 |
+
'vowel_roundedness': 'rounded'
|
| 773 |
+
},
|
| 774 |
+
'ɴ': {
|
| 775 |
+
'symbol_type' : 'phoneme',
|
| 776 |
+
'vowel_consonant' : 'consonant',
|
| 777 |
+
'VUV' : 'voiced',
|
| 778 |
+
'consonant_place' : 'uvular',
|
| 779 |
+
'consonant_manner': 'nasal'
|
| 780 |
+
},
|
| 781 |
+
'ʢ': {
|
| 782 |
+
'symbol_type' : 'phoneme',
|
| 783 |
+
'vowel_consonant' : 'consonant',
|
| 784 |
+
'VUV' : 'voiced',
|
| 785 |
+
'consonant_place' : 'epiglottal',
|
| 786 |
+
'consonant_manner': 'fricative'
|
| 787 |
+
},
|
| 788 |
+
'ѵ': {
|
| 789 |
+
'symbol_type' : 'phoneme',
|
| 790 |
+
'vowel_consonant' : 'consonant',
|
| 791 |
+
'VUV' : 'voiced',
|
| 792 |
+
'consonant_place' : 'labiodental',
|
| 793 |
+
'consonant_manner': 'flap'
|
| 794 |
+
},
|
| 795 |
+
'ǃ': { # looks deceivingly like an exclamation mark, but it's a different unicode entry
|
| 796 |
+
'symbol_type' : 'phoneme',
|
| 797 |
+
'vowel_consonant' : 'consonant',
|
| 798 |
+
'VUV' : 'unvoiced',
|
| 799 |
+
'consonant_place' : 'postalveolar',
|
| 800 |
+
'consonant_manner': 'click'
|
| 801 |
+
},
|
| 802 |
+
|
| 803 |
+
} # REMEMBER to also add the phonemes added here to the ID lookup below as the new highest ID
|
| 804 |
+
|
| 805 |
+
|
| 806 |
+
def get_phone_to_id():
|
| 807 |
+
"""
|
| 808 |
+
for the states of the ctc loss and dijkstra/mas in the aligner
|
| 809 |
+
cannot be extracted trivially from above because sets are unordered and the IDs need to be consistent
|
| 810 |
+
"""
|
| 811 |
+
phone_to_id = dict()
|
| 812 |
+
for index, phone in enumerate("~#?!ǃ.ɜəaðɛɪŋɔɒɾʃθʊʌʒæbʔdefghijklmnɳopɡɹrstuvwxzʀøçɐœyʏɑcɲɣʎβʝɟqɕɭɵʑʋʁɨʂɓʙɗɖχʛʟɽɢɠǂɦǁĩʍʕɻʄũɤɶõʡʈʜɱɯǀɸʘʐɰɘħɞʉɴʢѵ"):
|
| 813 |
+
phone_to_id[phone] = index
|
| 814 |
+
# the following lines fix an issue with the aligner: While the different punctuation marks have
|
| 815 |
+
# different effects on their context, their realization in the signal is typically just silence.
|
| 816 |
+
# Since this is common for all of them, the CTC objective malfunctions for our purposes of
|
| 817 |
+
# alignment search. So it turned out that it's better to map all punctuation marks to silence.
|
| 818 |
+
phone_to_id["#"] = phone_to_id["~"]
|
| 819 |
+
phone_to_id["?"] = phone_to_id["~"]
|
| 820 |
+
phone_to_id["!"] = phone_to_id["~"]
|
| 821 |
+
phone_to_id["."] = phone_to_id["~"]
|
| 822 |
+
return phone_to_id
|
| 823 |
+
|
| 824 |
+
|
| 825 |
+
def get_feature_to_index_lookup():
|
| 826 |
+
return {
|
| 827 |
+
# MODIFIER
|
| 828 |
+
# -- stress: modified by the previous symbol
|
| 829 |
+
"stressed" : 0,
|
| 830 |
+
# -- tone: modified by the following symbol
|
| 831 |
+
"very-high-tone" : 1,
|
| 832 |
+
"high-tone" : 2,
|
| 833 |
+
"mid-tone" : 3,
|
| 834 |
+
"low-tone" : 4,
|
| 835 |
+
"very-low-tone" : 5,
|
| 836 |
+
"rising-tone" : 6,
|
| 837 |
+
"falling-tone" : 7,
|
| 838 |
+
"peaking-tone" : 8,
|
| 839 |
+
"dipping-tone" : 9,
|
| 840 |
+
# -- lengthening: modified by the following symbol
|
| 841 |
+
"lengthened" : 10,
|
| 842 |
+
"half-length" : 11,
|
| 843 |
+
"shortened" : 12,
|
| 844 |
+
|
| 845 |
+
# CATEGORIES
|
| 846 |
+
"consonant" : 13,
|
| 847 |
+
"vowel" : 14,
|
| 848 |
+
"phoneme" : 15,
|
| 849 |
+
|
| 850 |
+
# NON-SPEECH-MARKERS
|
| 851 |
+
"silence" : 16,
|
| 852 |
+
"end of sentence" : 17,
|
| 853 |
+
"questionmark" : 18,
|
| 854 |
+
"exclamationmark" : 19,
|
| 855 |
+
"fullstop" : 20,
|
| 856 |
+
"word-boundary" : 21,
|
| 857 |
+
|
| 858 |
+
# PLACE
|
| 859 |
+
"dental" : 22,
|
| 860 |
+
"postalveolar" : 23,
|
| 861 |
+
"velar" : 24,
|
| 862 |
+
"palatal" : 25,
|
| 863 |
+
"glottal" : 26,
|
| 864 |
+
"uvular" : 27,
|
| 865 |
+
"labiodental" : 28,
|
| 866 |
+
"labial-velar" : 29,
|
| 867 |
+
"alveolar" : 30,
|
| 868 |
+
"bilabial" : 31,
|
| 869 |
+
"alveolopalatal" : 32,
|
| 870 |
+
"retroflex" : 33,
|
| 871 |
+
"pharyngal" : 34,
|
| 872 |
+
"epiglottal" : 35,
|
| 873 |
+
|
| 874 |
+
# TONGUE POSITION
|
| 875 |
+
"central" : 36,
|
| 876 |
+
"back" : 37,
|
| 877 |
+
"front_central" : 38,
|
| 878 |
+
"front" : 39,
|
| 879 |
+
"central_back" : 40,
|
| 880 |
+
|
| 881 |
+
# MOUTH OPENNESS
|
| 882 |
+
"mid" : 41,
|
| 883 |
+
"close-mid" : 42,
|
| 884 |
+
"close" : 43,
|
| 885 |
+
"open-mid" : 44,
|
| 886 |
+
"close_close-mid" : 45,
|
| 887 |
+
"open-mid_open" : 46,
|
| 888 |
+
"open" : 47,
|
| 889 |
+
|
| 890 |
+
# MOUTH SHAPE
|
| 891 |
+
"rounded" : 48,
|
| 892 |
+
"unrounded" : 49,
|
| 893 |
+
|
| 894 |
+
# MANNER
|
| 895 |
+
"plosive" : 50,
|
| 896 |
+
"nasal" : 51,
|
| 897 |
+
"approximant" : 52,
|
| 898 |
+
"trill" : 53,
|
| 899 |
+
"flap" : 54,
|
| 900 |
+
"fricative" : 55,
|
| 901 |
+
"lateral-approximant": 56,
|
| 902 |
+
"implosive" : 57,
|
| 903 |
+
"vibrant" : 58,
|
| 904 |
+
"click" : 59,
|
| 905 |
+
"ejective" : 60,
|
| 906 |
+
|
| 907 |
+
# TYPE
|
| 908 |
+
"aspirated" : 61,
|
| 909 |
+
"unvoiced" : 62,
|
| 910 |
+
"voiced" : 63,
|
| 911 |
+
}
|
| 912 |
+
|
| 913 |
+
|
| 914 |
+
def generate_feature_table():
|
| 915 |
+
ipa_to_phonemefeats = generate_feature_lookup()
|
| 916 |
+
|
| 917 |
+
feat_types = set()
|
| 918 |
+
for ipa in ipa_to_phonemefeats:
|
| 919 |
+
if len(ipa) == 1:
|
| 920 |
+
[feat_types.add(feat) for feat in ipa_to_phonemefeats[ipa].keys()]
|
| 921 |
+
|
| 922 |
+
feat_to_val_set = dict()
|
| 923 |
+
for feat in feat_types:
|
| 924 |
+
feat_to_val_set[feat] = set()
|
| 925 |
+
for ipa in ipa_to_phonemefeats:
|
| 926 |
+
if len(ipa) == 1:
|
| 927 |
+
for feat in ipa_to_phonemefeats[ipa]:
|
| 928 |
+
feat_to_val_set[feat].add(ipa_to_phonemefeats[ipa][feat])
|
| 929 |
+
|
| 930 |
+
# print(feat_to_val_set)
|
| 931 |
+
|
| 932 |
+
value_list = set()
|
| 933 |
+
for val_set in [feat_to_val_set[feat] for feat in feat_to_val_set]:
|
| 934 |
+
for value in val_set:
|
| 935 |
+
value_list.add(value)
|
| 936 |
+
# print("{")
|
| 937 |
+
# for index, value in enumerate(list(value_list)):
|
| 938 |
+
# print('"{}":{},'.format(value,index))
|
| 939 |
+
# print("}")
|
| 940 |
+
|
| 941 |
+
value_to_index = get_feature_to_index_lookup()
|
| 942 |
+
|
| 943 |
+
phone_to_vector = dict()
|
| 944 |
+
for ipa in ipa_to_phonemefeats:
|
| 945 |
+
if len(ipa) == 1:
|
| 946 |
+
phone_to_vector[ipa] = [0] * (15 + sum([len(values) for values in [feat_to_val_set[feat] for feat in feat_to_val_set]]))
|
| 947 |
+
# 15 features come from modifiers, not from lexical sounds, so we have to add them to the ones we encounter naturally in the lexical sounds
|
| 948 |
+
for feat in ipa_to_phonemefeats[ipa]:
|
| 949 |
+
if ipa_to_phonemefeats[ipa][feat] in value_to_index:
|
| 950 |
+
phone_to_vector[ipa][value_to_index[ipa_to_phonemefeats[ipa][feat]]] = 1
|
| 951 |
+
if phone_to_vector[ipa][value_to_index["phoneme"]] != 1:
|
| 952 |
+
# it's not a phoneme, so we give it the silence marker, regardless of what it is.
|
| 953 |
+
phone_to_vector[ipa][value_to_index["silence"]] = 1
|
| 954 |
+
|
| 955 |
+
for feat in feat_to_val_set:
|
| 956 |
+
for value in feat_to_val_set[feat]:
|
| 957 |
+
if value not in value_to_index:
|
| 958 |
+
print(f"Unknown feature value in featureset! {value}")
|
| 959 |
+
|
| 960 |
+
# print(f"{sum([len(values) for values in [feat_to_val_set[feat] for feat in feat_to_val_set]])} should be 49")
|
| 961 |
+
|
| 962 |
+
return phone_to_vector
|
| 963 |
+
|
| 964 |
+
|
| 965 |
+
if __name__ == '__main__':
|
| 966 |
+
print(generate_feature_table())
|
iso_lookup.json
ADDED
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The diff for this file is too large to render.
See raw diff
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iso_to_fullname.json
ADDED
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The diff for this file is too large to render.
See raw diff
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requirements.txt
ADDED
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|
| 1 |
+
torch~=2.1.0
|
| 2 |
+
epitran==1.24
|
| 3 |
+
numpy~=1.23.4
|
| 4 |
+
pypinyin~=0.47.1
|
| 5 |
+
matplotlib~=3.7.0
|
| 6 |
+
phonemizer~=3.2.1
|
| 7 |
+
dragonmapper~=0.2.6
|
| 8 |
+
transphone==1.5.3
|
| 9 |
+
pykakasi~=2.2.1
|
| 10 |
+
jamo~=0.4.1
|
| 11 |
+
g2pk~=0.9.4
|
| 12 |
+
gradio~=4.26.0
|
run_feature_visualization.py
ADDED
|
@@ -0,0 +1,55 @@
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|
| 1 |
+
import matplotlib.pyplot as plt
|
| 2 |
+
import numpy as np
|
| 3 |
+
import torch
|
| 4 |
+
|
| 5 |
+
from ArticulatoryTextFrontend import ArticulatoryTextFrontend
|
| 6 |
+
|
| 7 |
+
|
| 8 |
+
def visualize_one_hot_encoded_sequence(tensor, sentence, col_labels, cmap='BuGn'):
|
| 9 |
+
"""
|
| 10 |
+
Visualize a 2D one-hot encoded tensor as a heatmap.
|
| 11 |
+
"""
|
| 12 |
+
tensor = torch.clamp(tensor, min=0, max=1).transpose(0, 1).cpu().numpy()
|
| 13 |
+
if tensor.ndim != 2:
|
| 14 |
+
raise ValueError("Input tensor must be a 2D array")
|
| 15 |
+
|
| 16 |
+
# Check the size of labels matches the tensor dimensions
|
| 17 |
+
row_labels = ["stressed", "very-high-tone", "high-tone", "mid-tone", "low-tone", "very-low-tone", "rising-tone", "falling-tone", "peaking-tone", "dipping-tone", "lengthened", "half-length", "shortened", "consonant", "vowel", "phoneme", "silence", "end of sentence", "questionmark", "exclamationmark", "fullstop", "word-boundary", "dental", "postalveolar",
|
| 18 |
+
"velar", "palatal", "glottal", "uvular", "labiodental", "labial-velar", "alveolar", "bilabial", "alveolopalatal", "retroflex", "pharyngal", "epiglottal", "central", "back", "front_central", "front", "central_back", "mid", "close-mid", "close", "open-mid", "close_close-mid", "open-mid_open", "open", "rounded", "unrounded", "plosive",
|
| 19 |
+
"nasal", "approximant", "trill", "flap", "fricative", "lateral-approximant", "implosive", "vibrant", "click", "ejective", "aspirated", "unvoiced", "voiced"]
|
| 20 |
+
|
| 21 |
+
if row_labels and len(row_labels) != tensor.shape[0]:
|
| 22 |
+
raise ValueError("Number of row labels must match the number of rows in the tensor")
|
| 23 |
+
if col_labels and len(col_labels) != tensor.shape[1]:
|
| 24 |
+
raise ValueError("Number of column labels must match the number of columns in the tensor")
|
| 25 |
+
|
| 26 |
+
plt.figure(figsize=(10, 8))
|
| 27 |
+
|
| 28 |
+
# Create the heatmap
|
| 29 |
+
plt.imshow(tensor, cmap=cmap, aspect='auto')
|
| 30 |
+
|
| 31 |
+
# Add labels
|
| 32 |
+
if row_labels:
|
| 33 |
+
plt.yticks(np.arange(tensor.shape[0]), row_labels)
|
| 34 |
+
if col_labels:
|
| 35 |
+
plt.xticks(np.arange(tensor.shape[1]), col_labels, rotation=0)
|
| 36 |
+
|
| 37 |
+
plt.grid(False)
|
| 38 |
+
plt.xlabel('Phones')
|
| 39 |
+
plt.ylabel('Features')
|
| 40 |
+
|
| 41 |
+
# Display the heatmap
|
| 42 |
+
plt.title(f"»{sentence}«")
|
| 43 |
+
plt.tight_layout()
|
| 44 |
+
plt.show()
|
| 45 |
+
|
| 46 |
+
|
| 47 |
+
if __name__ == '__main__':
|
| 48 |
+
sentence = "Rằng: Trong Thánh trạch dồi dào."
|
| 49 |
+
language = "vie"
|
| 50 |
+
|
| 51 |
+
tf = ArticulatoryTextFrontend(language=language)
|
| 52 |
+
features = tf.string_to_tensor(sentence)
|
| 53 |
+
phones = tf.get_phone_string(sentence)
|
| 54 |
+
|
| 55 |
+
visualize_one_hot_encoded_sequence(tensor=features, sentence=sentence, col_labels=phones)
|
run_grapheme_to_feature_demo.py
ADDED
|
@@ -0,0 +1,33 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
from ArticulatoryTextFrontend import ArticulatoryTextFrontend, get_language_id
|
| 2 |
+
|
| 3 |
+
if __name__ == '__main__':
|
| 4 |
+
|
| 5 |
+
# demonstrating the language ID lookup
|
| 6 |
+
print(get_language_id("eng"))
|
| 7 |
+
print(get_language_id("deu"))
|
| 8 |
+
print(get_language_id("fra"))
|
| 9 |
+
|
| 10 |
+
# demonstrating the conversion from graphemes to features
|
| 11 |
+
print("\n\nEnglish Test")
|
| 12 |
+
tf = ArticulatoryTextFrontend(language="eng")
|
| 13 |
+
features = tf.string_to_tensor("This is a complex sentence, it even has a pause!", view=True)
|
| 14 |
+
|
| 15 |
+
print("\n\nChinese Test")
|
| 16 |
+
tf = ArticulatoryTextFrontend(language="cmn")
|
| 17 |
+
features = tf.string_to_tensor("这是一个复杂的句子,它甚至包含一个停顿。", view=True)
|
| 18 |
+
features = tf.string_to_tensor("李绅 《悯农》 锄禾日当午, 汗滴禾下土。 谁知盘中餐, 粒粒皆辛苦。", view=True)
|
| 19 |
+
features = tf.string_to_tensor("巴 拔 把 爸 吧", view=True)
|
| 20 |
+
|
| 21 |
+
print("\n\nVietnamese Test")
|
| 22 |
+
tf = ArticulatoryTextFrontend(language="vie")
|
| 23 |
+
features = tf.string_to_tensor("Xin chào thế giới, quả là một ngày tốt lành để học nói tiếng Việt!", view=True)
|
| 24 |
+
features = tf.string_to_tensor("ba bà bá bạ bả bã", view=True)
|
| 25 |
+
|
| 26 |
+
print("\n\nJapanese Test")
|
| 27 |
+
tf = ArticulatoryTextFrontend(language="jpn")
|
| 28 |
+
features = tf.string_to_tensor("医師会がなくても、近隣の病院なら紹介してくれると思います。", view=True)
|
| 29 |
+
|
| 30 |
+
print("\n\nZero-Shot Test")
|
| 31 |
+
tf = ArticulatoryTextFrontend(language="acr")
|
| 32 |
+
features = tf.string_to_tensor("I don't know this language, but this is just a placeholder text anyway.", view=True)
|
| 33 |
+
|