File size: 11,688 Bytes
1cf1e13
 
 
 
 
 
 
ae80214
1cf1e13
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
ae80214
 
1cf1e13
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
ae80214
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1cf1e13
 
 
ae80214
 
 
 
 
1cf1e13
ae80214
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1cf1e13
 
ae80214
1cf1e13
 
ae80214
1cf1e13
 
ae80214
 
1cf1e13
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
192
193
194
195
196
197
198
199
200
201
202
203
204
205
206
207
208
209
210
211
212
213
214
215
216
217
218
219
220
221
222
223
224
225
226
227
228
229
230
231
232
233
234
235
236
237
238
239
240
241
242
243
244
245
246
247
248
249
250
251
252
253
254
255
256
257
258
259
260
261
262
263
264
265
266
267
268
269
270
271
272
273
274
275
276
277
278
279
280
281
282
283
284
285
286
287
288
289
290
291
292
293
294
295
296
297
298
299
300
301
302
303
304
305
306
307
308
309
310
311
312
313
314
315
316
317
318
319
320
321
322
323
324
325
326
327
328
329
330
331
332
333
334
335
336
337
338
339
340
341
342
343
344
345
346
347
348
349
350
351
352
353
354
355
356
357
358
359
360
361
362
363
364
365
366
367
368
369
370
371
372
373
374
375
376
377
378
379
380
381
382
383
384
385
386
387
388
389
390
391
392
393
394
395
396
397
398
399
400
401
402
403
404
405
406
407
408
409
410
411
412
413
414
415
416
417
418
419
420
421
422
423
424
425
426
427
428
429
430
431
432
433
434
435
436
437
438
439
440
441
442
443
444
445
446
447
448
449
450
451
452
453
454
455
456
457
458
459
460
461
462
463
464
465
466
467
468
469
470
471
472
473
474
475
476
477
478
479
480
481
482
483
484
485
486
487
488
489
490
491
492
493
494
495
496
import pickle
import os
import re
from g2p_en import G2p
from transformers import DebertaV2Tokenizer

from text import symbols
from text.symbols import punctuation

current_file_path = os.path.dirname(__file__)
CMU_DICT_PATH = os.path.join(current_file_path, "cmudict.rep")
CACHE_PATH = os.path.join(current_file_path, "cmudict_cache.pickle")
_g2p = G2p()
LOCAL_PATH = "./bert/deberta-v3-large"
tokenizer = DebertaV2Tokenizer.from_pretrained(LOCAL_PATH)

arpa = {
    "AH0",
    "S",
    "AH1",
    "EY2",
    "AE2",
    "EH0",
    "OW2",
    "UH0",
    "NG",
    "B",
    "G",
    "AY0",
    "M",
    "AA0",
    "F",
    "AO0",
    "ER2",
    "UH1",
    "IY1",
    "AH2",
    "DH",
    "IY0",
    "EY1",
    "IH0",
    "K",
    "N",
    "W",
    "IY2",
    "T",
    "AA1",
    "ER1",
    "EH2",
    "OY0",
    "UH2",
    "UW1",
    "Z",
    "AW2",
    "AW1",
    "V",
    "UW2",
    "AA2",
    "ER",
    "AW0",
    "UW0",
    "R",
    "OW1",
    "EH1",
    "ZH",
    "AE0",
    "IH2",
    "IH",
    "Y",
    "JH",
    "P",
    "AY1",
    "EY0",
    "OY2",
    "TH",
    "HH",
    "D",
    "ER0",
    "CH",
    "AO1",
    "AE1",
    "AO2",
    "OY1",
    "AY2",
    "IH1",
    "OW0",
    "L",
    "SH",
}


def post_replace_ph(ph):
    rep_map = {
        ":": ",",
        ";": ",",
        ",": ",",
        "。": ".",
        "!": "!",
        "?": "?",
        "\n": ".",
        "·": ",",
        "、": ",",
        "…": "...",
        "···": "...",
        "・・・": "...",
        "v": "V",
    }
    if ph in rep_map.keys():
        ph = rep_map[ph]
    if ph in symbols:
        return ph
    if ph not in symbols:
        ph = "UNK"
    return ph


rep_map = {
    ":": ",",
    ";": ",",
    ",": ",",
    "。": ".",
    "!": "!",
    "?": "?",
    "\n": ".",
    ".": ".",
    "…": "...",
    "···": "...",
    "・・・": "...",
    "·": ",",
    "・": ",",
    "、": ",",
    "$": ".",
    "“": "'",
    "”": "'",
    '"': "'",
    "‘": "'",
    "’": "'",
    "(": "'",
    ")": "'",
    "(": "'",
    ")": "'",
    "《": "'",
    "》": "'",
    "【": "'",
    "】": "'",
    "[": "'",
    "]": "'",
    "—": "-",
    "−": "-",
    "~": "-",
    "~": "-",
    "「": "'",
    "」": "'",
}


def replace_punctuation(text):
    pattern = re.compile("|".join(re.escape(p) for p in rep_map.keys()))

    replaced_text = pattern.sub(lambda x: rep_map[x.group()], text)

    # replaced_text = re.sub(
    #     r"[^\u3040-\u309F\u30A0-\u30FF\u4E00-\u9FFF\u3400-\u4DBF\u3005"
    #     + "".join(punctuation)
    #     + r"]+",
    #     "",
    #     replaced_text,
    # )

    return replaced_text


def read_dict():
    g2p_dict = {}
    start_line = 49
    with open(CMU_DICT_PATH) as f:
        line = f.readline()
        line_index = 1
        while line:
            if line_index >= start_line:
                line = line.strip()
                word_split = line.split("  ")
                word = word_split[0]

                syllable_split = word_split[1].split(" - ")
                g2p_dict[word] = []
                for syllable in syllable_split:
                    phone_split = syllable.split(" ")
                    g2p_dict[word].append(phone_split)

            line_index = line_index + 1
            line = f.readline()

    return g2p_dict


def cache_dict(g2p_dict, file_path):
    with open(file_path, "wb") as pickle_file:
        pickle.dump(g2p_dict, pickle_file)


def get_dict():
    if os.path.exists(CACHE_PATH):
        with open(CACHE_PATH, "rb") as pickle_file:
            g2p_dict = pickle.load(pickle_file)
    else:
        g2p_dict = read_dict()
        cache_dict(g2p_dict, CACHE_PATH)

    return g2p_dict


eng_dict = get_dict()


def refine_ph(phn):
    tone = 0
    if re.search(r"\d$", phn):
        tone = int(phn[-1]) + 1
        phn = phn[:-1]
    else:
        tone = 3
    return phn.lower(), tone


def refine_syllables(syllables):
    tones = []
    phonemes = []
    for phn_list in syllables:
        for i in range(len(phn_list)):
            phn = phn_list[i]
            phn, tone = refine_ph(phn)
            phonemes.append(phn)
            tones.append(tone)
    return phonemes, tones


import re
import inflect

_inflect = inflect.engine()
_comma_number_re = re.compile(r"([0-9][0-9\,]+[0-9])")
_decimal_number_re = re.compile(r"([0-9]+\.[0-9]+)")
_pounds_re = re.compile(r"£([0-9\,]*[0-9]+)")
_dollars_re = re.compile(r"\$([0-9\.\,]*[0-9]+)")
_ordinal_re = re.compile(r"[0-9]+(st|nd|rd|th)")
_number_re = re.compile(r"[0-9]+")

# List of (regular expression, replacement) pairs for abbreviations:
_abbreviations = [
    (re.compile("\\b%s\\." % x[0], re.IGNORECASE), x[1])
    for x in [
        ("mrs", "misess"),
        ("mr", "mister"),
        ("dr", "doctor"),
        ("st", "saint"),
        ("co", "company"),
        ("jr", "junior"),
        ("maj", "major"),
        ("gen", "general"),
        ("drs", "doctors"),
        ("rev", "reverend"),
        ("lt", "lieutenant"),
        ("hon", "honorable"),
        ("sgt", "sergeant"),
        ("capt", "captain"),
        ("esq", "esquire"),
        ("ltd", "limited"),
        ("col", "colonel"),
        ("ft", "fort"),
    ]
]


# List of (ipa, lazy ipa) pairs:
_lazy_ipa = [
    (re.compile("%s" % x[0]), x[1])
    for x in [
        ("r", "ɹ"),
        ("æ", "e"),
        ("ɑ", "a"),
        ("ɔ", "o"),
        ("ð", "z"),
        ("θ", "s"),
        ("ɛ", "e"),
        ("ɪ", "i"),
        ("ʊ", "u"),
        ("ʒ", "ʥ"),
        ("ʤ", "ʥ"),
        ("ˈ", "↓"),
    ]
]

# List of (ipa, lazy ipa2) pairs:
_lazy_ipa2 = [
    (re.compile("%s" % x[0]), x[1])
    for x in [
        ("r", "ɹ"),
        ("ð", "z"),
        ("θ", "s"),
        ("ʒ", "ʑ"),
        ("ʤ", "dʑ"),
        ("ˈ", "↓"),
    ]
]

# List of (ipa, ipa2) pairs
_ipa_to_ipa2 = [
    (re.compile("%s" % x[0]), x[1]) for x in [("r", "ɹ"), ("ʤ", "dʒ"), ("ʧ", "tʃ")]
]


def _expand_dollars(m):
    match = m.group(1)
    parts = match.split(".")
    if len(parts) > 2:
        return match + " dollars"  # Unexpected format
    dollars = int(parts[0]) if parts[0] else 0
    cents = int(parts[1]) if len(parts) > 1 and parts[1] else 0
    if dollars and cents:
        dollar_unit = "dollar" if dollars == 1 else "dollars"
        cent_unit = "cent" if cents == 1 else "cents"
        return "%s %s, %s %s" % (dollars, dollar_unit, cents, cent_unit)
    elif dollars:
        dollar_unit = "dollar" if dollars == 1 else "dollars"
        return "%s %s" % (dollars, dollar_unit)
    elif cents:
        cent_unit = "cent" if cents == 1 else "cents"
        return "%s %s" % (cents, cent_unit)
    else:
        return "zero dollars"


def _remove_commas(m):
    return m.group(1).replace(",", "")


def _expand_ordinal(m):
    return _inflect.number_to_words(m.group(0))


def _expand_number(m):
    num = int(m.group(0))
    if num > 1000 and num < 3000:
        if num == 2000:
            return "two thousand"
        elif num > 2000 and num < 2010:
            return "two thousand " + _inflect.number_to_words(num % 100)
        elif num % 100 == 0:
            return _inflect.number_to_words(num // 100) + " hundred"
        else:
            return _inflect.number_to_words(
                num, andword="", zero="oh", group=2
            ).replace(", ", " ")
    else:
        return _inflect.number_to_words(num, andword="")


def _expand_decimal_point(m):
    return m.group(1).replace(".", " point ")


def normalize_numbers(text):
    text = re.sub(_comma_number_re, _remove_commas, text)
    text = re.sub(_pounds_re, r"\1 pounds", text)
    text = re.sub(_dollars_re, _expand_dollars, text)
    text = re.sub(_decimal_number_re, _expand_decimal_point, text)
    text = re.sub(_ordinal_re, _expand_ordinal, text)
    text = re.sub(_number_re, _expand_number, text)
    return text


def text_normalize(text):
    text = normalize_numbers(text)
    text = replace_punctuation(text)
    text = re.sub(r"([,;.\?\!])([\w])", r"\1 \2", text)
    return text


def distribute_phone(n_phone, n_word):
    phones_per_word = [0] * n_word
    for task in range(n_phone):
        min_tasks = min(phones_per_word)
        min_index = phones_per_word.index(min_tasks)
        phones_per_word[min_index] += 1
    return phones_per_word


def sep_text(text):
    words = re.split(r"([,;.\?\!\s+])", text)
    words = [word for word in words if word.strip() != ""]
    return words


def text_to_words(text):
    tokens = tokenizer.tokenize(text)
    words = []
    for idx, t in enumerate(tokens):
        if t.startswith("▁"):
            words.append([t[1:]])
        else:
            if t in punctuation:
                if idx == len(tokens) - 1:
                    words.append([f"{t}"])
                else:
                    if (
                        not tokens[idx + 1].startswith("▁")
                        and tokens[idx + 1] not in punctuation
                    ):
                        if idx == 0:
                            words.append([])
                        words[-1].append(f"{t}")
                    else:
                        words.append([f"{t}"])
            else:
                if idx == 0:
                    words.append([])
                words[-1].append(f"{t}")
    return words


def g2p(text):
    phones = []
    tones = []
    phone_len = []
    # words = sep_text(text)
    # tokens = [tokenizer.tokenize(i) for i in words]
    words = text_to_words(text)

    for word in words:
        temp_phones, temp_tones = [], []
        if len(word) > 1:
            if "'" in word:
                word = ["".join(word)]
        for w in word:
            if w in punctuation:
                temp_phones.append(w)
                temp_tones.append(0)
                continue
            if w.upper() in eng_dict:
                phns, tns = refine_syllables(eng_dict[w.upper()])
                temp_phones += [post_replace_ph(i) for i in phns]
                temp_tones += tns
                # w2ph.append(len(phns))
            else:
                phone_list = list(filter(lambda p: p != " ", _g2p(w)))
                phns = []
                tns = []
                for ph in phone_list:
                    if ph in arpa:
                        ph, tn = refine_ph(ph)
                        phns.append(ph)
                        tns.append(tn)
                    else:
                        phns.append(ph)
                        tns.append(0)
                temp_phones += [post_replace_ph(i) for i in phns]
                temp_tones += tns
        phones += temp_phones
        tones += temp_tones
        phone_len.append(len(temp_phones))
        # phones = [post_replace_ph(i) for i in phones]

    word2ph = []
    for token, pl in zip(words, phone_len):
        word_len = len(token)

        aaa = distribute_phone(pl, word_len)
        word2ph += aaa

    phones = ["_"] + phones + ["_"]
    tones = [0] + tones + [0]
    word2ph = [1] + word2ph + [1]
    assert len(phones) == len(tones), text
    assert len(phones) == sum(word2ph), text

    return phones, tones, word2ph


def get_bert_feature(text, word2ph):
    from text import english_bert_mock

    return english_bert_mock.get_bert_feature(text, word2ph)


if __name__ == "__main__":
    # print(get_dict())
    # print(eng_word_to_phoneme("hello"))
    print(g2p("In this paper, we propose 1 DSPGAN, a GAN-based universal vocoder."))
    # all_phones = set()
    # for k, syllables in eng_dict.items():
    #     for group in syllables:
    #         for ph in group:
    #             all_phones.add(ph)
    # print(all_phones)