Update MeloTTS/melo/text/japanese.py
Browse files- MeloTTS/melo/text/japanese.py +647 -647
MeloTTS/melo/text/japanese.py
CHANGED
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@@ -1,647 +1,647 @@
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# Convert Japanese text to phonemes which is
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# compatible with Julius https://github.com/julius-speech/segmentation-kit
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import re
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import unicodedata
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from transformers import AutoTokenizer
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from . import symbols
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punctuation = ["!", "?", "…", ",", ".", "'", "-"]
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try:
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import MeCab
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except ImportError as e:
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raise ImportError("Japanese requires mecab-python3 and unidic-lite.") from e
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from num2words import num2words
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_CONVRULES = [
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# Conversion of 2 letters
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"アァ/ a a",
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"イィ/ i i",
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"イェ/ i e",
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"イャ/ y a",
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"ウゥ/ u:",
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"エェ/ e e",
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"オォ/ o:",
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"カァ/ k a:",
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"キィ/ k i:",
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"クゥ/ k u:",
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"クャ/ ky a",
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"クュ/ ky u",
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"クョ/ ky o",
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"ケェ/ k e:",
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"コォ/ k o:",
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"ガァ/ g a:",
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"ギィ/ g i:",
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"グゥ/ g u:",
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"グャ/ gy a",
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"グュ/ gy u",
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"グョ/ gy o",
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"ゲェ/ g e:",
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"ゴォ/ g o:",
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"サァ/ s a:",
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"シィ/ sh i:",
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"スゥ/ s u:",
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"スャ/ sh a",
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"スュ/ sh u",
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"スョ/ sh o",
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"セェ/ s e:",
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"ソォ/ s o:",
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"ザァ/ z a:",
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"ジィ/ j i:",
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"ズゥ/ z u:",
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"ズャ/ zy a",
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"ズュ/ zy u",
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"ズョ/ zy o",
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"ゼェ/ z e:",
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"ゾォ/ z o:",
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"タァ/ t a:",
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"チィ/ ch i:",
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"ツァ/ ts a",
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"ツィ/ ts i",
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"ツゥ/ ts u:",
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"ツャ/ ch a",
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"ツュ/ ch u",
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"ツョ/ ch o",
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"ツェ/ ts e",
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"ツォ/ ts o",
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"テェ/ t e:",
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"トォ/ t o:",
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"ダァ/ d a:",
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"ヂィ/ j i:",
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"ヅゥ/ d u:",
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"ヅャ/ zy a",
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"ヅュ/ zy u",
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"ヅョ/ zy o",
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"デェ/ d e:",
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"ドォ/ d o:",
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"ナァ/ n a:",
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"ニィ/ n i:",
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"ヌゥ/ n u:",
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"ヌャ/ ny a",
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"ヌュ/ ny u",
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"ヌョ/ ny o",
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"ネェ/ n e:",
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"ノォ/ n o:",
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"ハァ/ h a:",
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"ヒィ/ h i:",
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"フゥ/ f u:",
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"フャ/ hy a",
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"フュ/ hy u",
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"フョ/ hy o",
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"ヘェ/ h e:",
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"ホォ/ h o:",
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"バァ/ b a:",
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"ビィ/ b i:",
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"ブゥ/ b u:",
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"フャ/ hy a",
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"ブュ/ by u",
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"フョ/ hy o",
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"ベェ/ b e:",
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"ボォ/ b o:",
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"パァ/ p a:",
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"ピィ/ p i:",
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"プゥ/ p u:",
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"プャ/ py a",
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"プュ/ py u",
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"プョ/ py o",
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"ペェ/ p e:",
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"ポォ/ p o:",
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"マァ/ m a:",
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"ミィ/ m i:",
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"ムゥ/ m u:",
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"ムャ/ my a",
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"ムュ/ my u",
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"ムョ/ my o",
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"メェ/ m e:",
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"モォ/ m o:",
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"ヤァ/ y a:",
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"ユゥ/ y u:",
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"ユャ/ y a:",
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"ユュ/ y u:",
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"ユョ/ y o:",
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"ヨォ/ y o:",
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"ラァ/ r a:",
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"リィ/ r i:",
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"ルゥ/ r u:",
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"ルャ/ ry a",
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"ルュ/ ry u",
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"ルョ/ ry o",
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"レェ/ r e:",
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"ロォ/ r o:",
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"ワァ/ w a:",
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"ヲォ/ o:",
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"ディ/ d i",
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"デェ/ d e:",
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"デャ/ dy a",
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"デュ/ dy u",
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"デョ/ dy o",
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"ティ/ t i",
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"テェ/ t e:",
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"テャ/ ty a",
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"テュ/ ty u",
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"テョ/ ty o",
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"スィ/ s i",
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"ズァ/ z u a",
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"ズィ/ z i",
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"ズゥ/ z u",
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"ズャ/ zy a",
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"ズュ/ zy u",
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"ズョ/ zy o",
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"ズェ/ z e",
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"ズォ/ z o",
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"キャ/ ky a",
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"キュ/ ky u",
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"キョ/ ky o",
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"シャ/ sh a",
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"シュ/ sh u",
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"シェ/ sh e",
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"ショ/ sh o",
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"チャ/ ch a",
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"チュ/ ch u",
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"チェ/ ch e",
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"チョ/ ch o",
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"トゥ/ t u",
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"トャ/ ty a",
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"トュ/ ty u",
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"トョ/ ty o",
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"ドァ/ d o a",
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"ドゥ/ d u",
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"ドャ/ dy a",
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"ドュ/ dy u",
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"ドョ/ dy o",
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"ドォ/ d o:",
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"ニャ/ ny a",
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"ニュ/ ny u",
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"ニョ/ ny o",
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"ヒャ/ hy a",
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"ヒュ/ hy u",
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"ヒョ/ hy o",
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"ミャ/ my a",
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"ミュ/ my u",
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"ミョ/ my o",
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"リャ/ ry a",
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"リュ/ ry u",
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"リョ/ ry o",
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"ギャ/ gy a",
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"ギュ/ gy u",
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"ギョ/ gy o",
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"ヂェ/ j e",
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"ヂャ/ j a",
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"ヂュ/ j u",
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"ヂョ/ j o",
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"ジェ/ j e",
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"ジャ/ j a",
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"ジュ/ j u",
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"ジョ/ j o",
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"ビャ/ by a",
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"ビュ/ by u",
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"ビョ/ by o",
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"ピャ/ py a",
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"ピュ/ py u",
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"ピョ/ py o",
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"ウァ/ u a",
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"ウィ/ w i",
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"ウェ/ w e",
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"ウォ/ w o",
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"ファ/ f a",
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"フィ/ f i",
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"フゥ/ f u",
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"フャ/ hy a",
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"フュ/ hy u",
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"フョ/ hy o",
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"フェ/ f e",
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"フォ/ f o",
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"ヴァ/ b a",
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"ヴィ/ b i",
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"ヴェ/ b e",
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"ヴォ/ b o",
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"ヴュ/ by u",
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# Conversion of 1 letter
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"ア/ a",
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"イ/ i",
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"ウ/ u",
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"エ/ e",
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"オ/ o",
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"カ/ k a",
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"キ/ k i",
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"ク/ k u",
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"ケ/ k e",
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"コ/ k o",
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"サ/ s a",
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"シ/ sh i",
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"ス/ s u",
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"セ/ s e",
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"ソ/ s o",
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"タ/ t a",
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"チ/ ch i",
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"ツ/ ts u",
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"テ/ t e",
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"ト/ t o",
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"ナ/ n a",
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"ニ/ n i",
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"ヌ/ n u",
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"ネ/ n e",
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"ノ/ n o",
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"ハ/ h a",
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"ヒ/ h i",
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"フ/ f u",
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"ヘ/ h e",
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"ホ/ h o",
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"マ/ m a",
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"ミ/ m i",
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"ム/ m u",
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"メ/ m e",
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"モ/ m o",
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"ラ/ r a",
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"リ/ r i",
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"ル/ r u",
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"レ/ r e",
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"ロ/ r o",
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"ガ/ g a",
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"ギ/ g i",
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"グ/ g u",
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"ゲ/ g e",
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"ゴ/ g o",
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"ザ/ z a",
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"ジ/ j i",
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"ズ/ z u",
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"ゼ/ z e",
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"ゾ/ z o",
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"ダ/ d a",
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"ヂ/ j i",
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"ヅ/ z u",
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"デ/ d e",
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"ド/ d o",
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"バ/ b a",
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"ビ/ b i",
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"ブ/ b u",
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"ベ/ b e",
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"ボ/ b o",
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| 281 |
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"パ/ p a",
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"ピ/ p i",
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| 283 |
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"プ/ p u",
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"ペ/ p e",
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"ポ/ p o",
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"ヤ/ y a",
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"ユ/ y u",
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"ヨ/ y o",
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| 289 |
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"ワ/ w a",
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| 290 |
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"ヰ/ i",
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"ヱ/ e",
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"ヲ/ o",
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"ン/ N",
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"ッ/ q",
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"ヴ/ b u",
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"ー/:",
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# Try converting broken text
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"ァ/ a",
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"ィ/ i",
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"ゥ/ u",
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"ェ/ e",
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"ォ/ o",
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"ヮ/ w a",
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| 304 |
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"ォ/ o",
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# Try converting broken text
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"ャ/ y a",
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| 307 |
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"ョ/ y o",
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| 308 |
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"ュ/ y u",
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| 309 |
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"琦/ ch i",
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"ヶ/ k e",
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"髙/ t a k a",
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"煞/ sh y a",
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# Symbols
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"、/ ,",
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"。/ .",
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"!/ !",
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"?/ ?",
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"・/ ,",
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]
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_COLON_RX = re.compile(":+")
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_REJECT_RX = re.compile("[^ a-zA-Z:,.?]")
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def _makerulemap():
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l = [tuple(x.split("/")) for x in _CONVRULES]
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return tuple({k: v for k, v in l if len(k) == i} for i in (1, 2))
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_RULEMAP1, _RULEMAP2 = _makerulemap()
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def kata2phoneme(text: str) -> str:
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"""Convert katakana text to phonemes."""
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text = text.strip()
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res = []
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while text:
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if len(text) >= 2:
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x = _RULEMAP2.get(text[:2])
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if x is not None:
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text = text[2:]
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res += x.split(" ")[1:]
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continue
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x = _RULEMAP1.get(text[0])
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if x is not None:
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text = text[1:]
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res += x.split(" ")[1:]
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| 348 |
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continue
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res.append(text[0])
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text = text[1:]
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| 351 |
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# res = _COLON_RX.sub(":", res)
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| 352 |
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return res
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| 353 |
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| 354 |
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| 355 |
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_KATAKANA = "".join(chr(ch) for ch in range(ord("ァ"), ord("ン") + 1))
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| 356 |
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_HIRAGANA = "".join(chr(ch) for ch in range(ord("ぁ"), ord("ん") + 1))
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| 357 |
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_HIRA2KATATRANS = str.maketrans(_HIRAGANA, _KATAKANA)
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| 358 |
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| 359 |
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| 360 |
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def hira2kata(text: str) -> str:
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text = text.translate(_HIRA2KATATRANS)
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| 362 |
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return text.replace("う゛", "ヴ")
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| 363 |
-
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| 364 |
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| 365 |
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_SYMBOL_TOKENS = set(list("・、。?!"))
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| 366 |
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_NO_YOMI_TOKENS = set(list("「」『』―()[][]"))
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| 367 |
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_TAGGER = MeCab.Tagger()
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| 368 |
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| 369 |
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| 370 |
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def text2kata(text: str) -> str:
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| 371 |
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parsed = _TAGGER.parse(text)
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| 372 |
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res = []
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| 373 |
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for line in parsed.split("\n"):
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if line == "EOS":
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break
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| 376 |
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parts = line.split("\t")
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| 377 |
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| 378 |
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word, yomi = parts[0], parts[1]
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| 379 |
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if yomi:
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| 380 |
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try:
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| 381 |
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res.append(yomi.split(',')[6])
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| 382 |
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except:
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| 383 |
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import pdb; pdb.set_trace()
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| 384 |
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else:
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| 385 |
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if word in _SYMBOL_TOKENS:
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| 386 |
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res.append(word)
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| 387 |
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elif word in ("っ", "ッ"):
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| 388 |
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res.append("ッ")
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| 389 |
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elif word in _NO_YOMI_TOKENS:
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pass
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| 391 |
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else:
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| 392 |
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res.append(word)
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| 393 |
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return hira2kata("".join(res))
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| 394 |
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| 395 |
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| 396 |
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_ALPHASYMBOL_YOMI = {
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| 397 |
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"#": "シャープ",
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| 398 |
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"%": "パーセント",
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| 399 |
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"&": "アンド",
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| 400 |
-
"+": "プラス",
|
| 401 |
-
"-": "マイナス",
|
| 402 |
-
":": "コロン",
|
| 403 |
-
";": "セミコロン",
|
| 404 |
-
"<": "小なり",
|
| 405 |
-
"=": "イコール",
|
| 406 |
-
">": "大なり",
|
| 407 |
-
"@": "アット",
|
| 408 |
-
"a": "エー",
|
| 409 |
-
"b": "ビー",
|
| 410 |
-
"c": "シー",
|
| 411 |
-
"d": "ディー",
|
| 412 |
-
"e": "イー",
|
| 413 |
-
"f": "エフ",
|
| 414 |
-
"g": "ジー",
|
| 415 |
-
"h": "エイチ",
|
| 416 |
-
"i": "アイ",
|
| 417 |
-
"j": "ジェー",
|
| 418 |
-
"k": "ケー",
|
| 419 |
-
"l": "エル",
|
| 420 |
-
"m": "エム",
|
| 421 |
-
"n": "エヌ",
|
| 422 |
-
"o": "オー",
|
| 423 |
-
"p": "ピー",
|
| 424 |
-
"q": "キュー",
|
| 425 |
-
"r": "アール",
|
| 426 |
-
"s": "エス",
|
| 427 |
-
"t": "ティー",
|
| 428 |
-
"u": "ユー",
|
| 429 |
-
"v": "ブイ",
|
| 430 |
-
"w": "ダブリュー",
|
| 431 |
-
"x": "エックス",
|
| 432 |
-
"y": "ワイ",
|
| 433 |
-
"z": "ゼット",
|
| 434 |
-
"α": "アルファ",
|
| 435 |
-
"β": "ベータ",
|
| 436 |
-
"γ": "ガンマ",
|
| 437 |
-
"δ": "デルタ",
|
| 438 |
-
"ε": "イプシロン",
|
| 439 |
-
"ζ": "ゼータ",
|
| 440 |
-
"η": "イータ",
|
| 441 |
-
"θ": "シータ",
|
| 442 |
-
"ι": "イオタ",
|
| 443 |
-
"κ": "カッパ",
|
| 444 |
-
"λ": "ラムダ",
|
| 445 |
-
"μ": "ミュー",
|
| 446 |
-
"ν": "ニュー",
|
| 447 |
-
"ξ": "クサイ",
|
| 448 |
-
"ο": "オミクロン",
|
| 449 |
-
"π": "パイ",
|
| 450 |
-
"ρ": "ロー",
|
| 451 |
-
"σ": "シグマ",
|
| 452 |
-
"τ": "タウ",
|
| 453 |
-
"υ": "
|
| 454 |
-
"φ": "ファイ",
|
| 455 |
-
"χ": "カイ",
|
| 456 |
-
"ψ": "プサイ",
|
| 457 |
-
"ω": "オメガ",
|
| 458 |
-
}
|
| 459 |
-
|
| 460 |
-
|
| 461 |
-
_NUMBER_WITH_SEPARATOR_RX = re.compile("[0-9]{1,3}(,[0-9]{3})+")
|
| 462 |
-
_CURRENCY_MAP = {"$": "ドル", "¥": "円", "£": "ポンド", "€": "ユーロ"}
|
| 463 |
-
_CURRENCY_RX = re.compile(r"([$¥£€])([0-9.]*[0-9])")
|
| 464 |
-
_NUMBER_RX = re.compile(r"[0-9]+(\.[0-9]+)?")
|
| 465 |
-
|
| 466 |
-
|
| 467 |
-
def japanese_convert_numbers_to_words(text: str) -> str:
|
| 468 |
-
res = _NUMBER_WITH_SEPARATOR_RX.sub(lambda m: m[0].replace(",", ""), text)
|
| 469 |
-
res = _CURRENCY_RX.sub(lambda m: m[2] + _CURRENCY_MAP.get(m[1], m[1]), res)
|
| 470 |
-
res = _NUMBER_RX.sub(lambda m: num2words(m[0], lang="ja"), res)
|
| 471 |
-
return res
|
| 472 |
-
|
| 473 |
-
|
| 474 |
-
def japanese_convert_alpha_symbols_to_words(text: str) -> str:
|
| 475 |
-
return "".join([_ALPHASYMBOL_YOMI.get(ch, ch) for ch in text.lower()])
|
| 476 |
-
|
| 477 |
-
|
| 478 |
-
def japanese_text_to_phonemes(text: str) -> str:
|
| 479 |
-
"""Convert Japanese text to phonemes."""
|
| 480 |
-
res = unicodedata.normalize("NFKC", text)
|
| 481 |
-
res = japanese_convert_numbers_to_words(res)
|
| 482 |
-
res = japanese_convert_alpha_symbols_to_words(res)
|
| 483 |
-
res = text2kata(res)
|
| 484 |
-
res = kata2phoneme(res)
|
| 485 |
-
return res
|
| 486 |
-
|
| 487 |
-
|
| 488 |
-
def is_japanese_character(char):
|
| 489 |
-
# 定义日语文字系统的 Unicode 范围
|
| 490 |
-
japanese_ranges = [
|
| 491 |
-
(0x3040, 0x309F), # 平假名
|
| 492 |
-
(0x30A0, 0x30FF), # 片假名
|
| 493 |
-
(0x4E00, 0x9FFF), # 汉字 (CJK Unified Ideographs)
|
| 494 |
-
(0x3400, 0x4DBF), # 汉字扩展 A
|
| 495 |
-
(0x20000, 0x2A6DF), # 汉字扩展 B
|
| 496 |
-
# 可以根据需要添加其他汉字扩展范围
|
| 497 |
-
]
|
| 498 |
-
|
| 499 |
-
# 将字符的 Unicode 编码转换为整数
|
| 500 |
-
char_code = ord(char)
|
| 501 |
-
|
| 502 |
-
# 检查字符是否在任何一个日语范围内
|
| 503 |
-
for start, end in japanese_ranges:
|
| 504 |
-
if start <= char_code <= end:
|
| 505 |
-
return True
|
| 506 |
-
|
| 507 |
-
return False
|
| 508 |
-
|
| 509 |
-
|
| 510 |
-
rep_map = {
|
| 511 |
-
":": ",",
|
| 512 |
-
";": ",",
|
| 513 |
-
",": ",",
|
| 514 |
-
"。": ".",
|
| 515 |
-
"!": "!",
|
| 516 |
-
"?": "?",
|
| 517 |
-
"\n": ".",
|
| 518 |
-
"·": ",",
|
| 519 |
-
"、": ",",
|
| 520 |
-
"...": "…",
|
| 521 |
-
}
|
| 522 |
-
|
| 523 |
-
|
| 524 |
-
def replace_punctuation(text):
|
| 525 |
-
pattern = re.compile("|".join(re.escape(p) for p in rep_map.keys()))
|
| 526 |
-
|
| 527 |
-
replaced_text = pattern.sub(lambda x: rep_map[x.group()], text)
|
| 528 |
-
|
| 529 |
-
replaced_text = re.sub(
|
| 530 |
-
r"[^\u3040-\u309F\u30A0-\u30FF\u4E00-\u9FFF\u3400-\u4DBF"
|
| 531 |
-
+ "".join(punctuation)
|
| 532 |
-
+ r"]+",
|
| 533 |
-
"",
|
| 534 |
-
replaced_text,
|
| 535 |
-
)
|
| 536 |
-
|
| 537 |
-
return replaced_text
|
| 538 |
-
|
| 539 |
-
from pykakasi import kakasi
|
| 540 |
-
# Initialize kakasi object
|
| 541 |
-
kakasi = kakasi()
|
| 542 |
-
# Set options for converting Chinese characters to Katakana
|
| 543 |
-
kakasi.setMode("J", "K") # Chinese to Katakana
|
| 544 |
-
kakasi.setMode("H", "K") # Hiragana to Katakana
|
| 545 |
-
# Convert Chinese characters to Katakana
|
| 546 |
-
conv = kakasi.getConverter()
|
| 547 |
-
|
| 548 |
-
def text_normalize(text):
|
| 549 |
-
res = unicodedata.normalize("NFKC", text)
|
| 550 |
-
res = japanese_convert_numbers_to_words(res)
|
| 551 |
-
res = "".join([i for i in res if is_japanese_character(i)])
|
| 552 |
-
res = replace_punctuation(res)
|
| 553 |
-
res = conv.do(res)
|
| 554 |
-
return res
|
| 555 |
-
|
| 556 |
-
|
| 557 |
-
def distribute_phone(n_phone, n_word):
|
| 558 |
-
phones_per_word = [0] * n_word
|
| 559 |
-
for task in range(n_phone):
|
| 560 |
-
min_tasks = min(phones_per_word)
|
| 561 |
-
min_index = phones_per_word.index(min_tasks)
|
| 562 |
-
phones_per_word[min_index] += 1
|
| 563 |
-
return phones_per_word
|
| 564 |
-
|
| 565 |
-
|
| 566 |
-
|
| 567 |
-
# tokenizer = AutoTokenizer.from_pretrained('cl-tohoku/bert-base-japanese-v3')
|
| 568 |
-
|
| 569 |
-
model_id = 'tohoku-nlp/bert-base-japanese-v3'
|
| 570 |
-
tokenizer = AutoTokenizer.from_pretrained(model_id)
|
| 571 |
-
def g2p(norm_text):
|
| 572 |
-
|
| 573 |
-
tokenized = tokenizer.tokenize(norm_text)
|
| 574 |
-
phs = []
|
| 575 |
-
ph_groups = []
|
| 576 |
-
for t in tokenized:
|
| 577 |
-
if not t.startswith("#"):
|
| 578 |
-
ph_groups.append([t])
|
| 579 |
-
else:
|
| 580 |
-
ph_groups[-1].append(t.replace("#", ""))
|
| 581 |
-
word2ph = []
|
| 582 |
-
for group in ph_groups:
|
| 583 |
-
text = ""
|
| 584 |
-
for ch in group:
|
| 585 |
-
text += ch
|
| 586 |
-
if text == '[UNK]':
|
| 587 |
-
phs += ['_']
|
| 588 |
-
word2ph += [1]
|
| 589 |
-
continue
|
| 590 |
-
elif text in punctuation:
|
| 591 |
-
phs += [text]
|
| 592 |
-
word2ph += [1]
|
| 593 |
-
continue
|
| 594 |
-
# import pdb; pdb.set_trace()
|
| 595 |
-
# phonemes = japanese_text_to_phonemes(text)
|
| 596 |
-
phonemes = kata2phoneme(text)
|
| 597 |
-
# phonemes = [i for i in phonemes if i in symbols]
|
| 598 |
-
for i in phonemes:
|
| 599 |
-
assert i in symbols, (group, norm_text, tokenized, i)
|
| 600 |
-
phone_len = len(phonemes)
|
| 601 |
-
word_len = len(group)
|
| 602 |
-
|
| 603 |
-
aaa = distribute_phone(phone_len, word_len)
|
| 604 |
-
assert len(aaa) == word_len
|
| 605 |
-
word2ph += aaa
|
| 606 |
-
|
| 607 |
-
phs += phonemes
|
| 608 |
-
phones = ["_"] + phs + ["_"]
|
| 609 |
-
tones = [0 for i in phones]
|
| 610 |
-
word2ph = [1] + word2ph + [1]
|
| 611 |
-
assert len(word2ph) == len(tokenized) + 2
|
| 612 |
-
return phones, tones, word2ph
|
| 613 |
-
|
| 614 |
-
def get_bert_feature(text, word2ph, device):
|
| 615 |
-
from text import japanese_bert
|
| 616 |
-
|
| 617 |
-
return japanese_bert.get_bert_feature(text, word2ph, device=device)
|
| 618 |
-
|
| 619 |
-
|
| 620 |
-
if __name__ == "__main__":
|
| 621 |
-
# tokenizer = AutoTokenizer.from_pretrained("./bert/bert-base-japanese-v3")
|
| 622 |
-
text = "こんにちは、世界!..."
|
| 623 |
-
text = 'ええ、僕はおきなと申します。こちらの小さいわらべは杏子。ご挨拶が遅れてしまいすみません。あなたの名は?'
|
| 624 |
-
text = 'あの、お前以外のみんなは、全員生きてること?'
|
| 625 |
-
from text.japanese_bert import get_bert_feature
|
| 626 |
-
|
| 627 |
-
text = text_normalize(text)
|
| 628 |
-
print(text)
|
| 629 |
-
phones, tones, word2ph = g2p(text)
|
| 630 |
-
bert = get_bert_feature(text, word2ph)
|
| 631 |
-
|
| 632 |
-
print(phones, tones, word2ph, bert.shape)
|
| 633 |
-
|
| 634 |
-
# if __name__ == '__main__':
|
| 635 |
-
# from pykakasi import kakasi
|
| 636 |
-
# # Initialize kakasi object
|
| 637 |
-
# kakasi = kakasi()
|
| 638 |
-
|
| 639 |
-
# # Set options for converting Chinese characters to Katakana
|
| 640 |
-
# kakasi.setMode("J", "H") # Chinese to Katakana
|
| 641 |
-
# kakasi.setMode("K", "H") # Hiragana to Katakana
|
| 642 |
-
|
| 643 |
-
# # Convert Chinese characters to Katakana
|
| 644 |
-
# conv = kakasi.getConverter()
|
| 645 |
-
# katakana_text = conv.do('ええ、僕はおきなと申します。こちらの小さいわらべは杏子。ご挨拶が遅れてしまいすみません。あなたの名は?') # Replace with your Chinese text
|
| 646 |
-
|
| 647 |
-
# print(katakana_text) # Output: ニーハオセカイ
|
|
|
|
| 1 |
+
# Convert Japanese text to phonemes which is
|
| 2 |
+
# compatible with Julius https://github.com/julius-speech/segmentation-kit
|
| 3 |
+
import re
|
| 4 |
+
import unicodedata
|
| 5 |
+
|
| 6 |
+
from transformers import AutoTokenizer
|
| 7 |
+
|
| 8 |
+
from . import symbols
|
| 9 |
+
punctuation = ["!", "?", "…", ",", ".", "'", "-"]
|
| 10 |
+
|
| 11 |
+
try:
|
| 12 |
+
import MeCab
|
| 13 |
+
except ImportError as e:
|
| 14 |
+
raise ImportError("Japanese requires mecab-python3 and unidic-lite.") from e
|
| 15 |
+
from num2words import num2words
|
| 16 |
+
|
| 17 |
+
_CONVRULES = [
|
| 18 |
+
# Conversion of 2 letters
|
| 19 |
+
"アァ/ a a",
|
| 20 |
+
"イィ/ i i",
|
| 21 |
+
"イェ/ i e",
|
| 22 |
+
"イャ/ y a",
|
| 23 |
+
"ウゥ/ u:",
|
| 24 |
+
"エェ/ e e",
|
| 25 |
+
"オォ/ o:",
|
| 26 |
+
"カァ/ k a:",
|
| 27 |
+
"キィ/ k i:",
|
| 28 |
+
"クゥ/ k u:",
|
| 29 |
+
"クャ/ ky a",
|
| 30 |
+
"クュ/ ky u",
|
| 31 |
+
"クョ/ ky o",
|
| 32 |
+
"ケェ/ k e:",
|
| 33 |
+
"コォ/ k o:",
|
| 34 |
+
"ガァ/ g a:",
|
| 35 |
+
"ギィ/ g i:",
|
| 36 |
+
"グゥ/ g u:",
|
| 37 |
+
"グャ/ gy a",
|
| 38 |
+
"グュ/ gy u",
|
| 39 |
+
"グョ/ gy o",
|
| 40 |
+
"ゲェ/ g e:",
|
| 41 |
+
"ゴォ/ g o:",
|
| 42 |
+
"サァ/ s a:",
|
| 43 |
+
"シィ/ sh i:",
|
| 44 |
+
"スゥ/ s u:",
|
| 45 |
+
"スャ/ sh a",
|
| 46 |
+
"スュ/ sh u",
|
| 47 |
+
"スョ/ sh o",
|
| 48 |
+
"セェ/ s e:",
|
| 49 |
+
"ソォ/ s o:",
|
| 50 |
+
"ザァ/ z a:",
|
| 51 |
+
"ジィ/ j i:",
|
| 52 |
+
"ズゥ/ z u:",
|
| 53 |
+
"ズャ/ zy a",
|
| 54 |
+
"ズュ/ zy u",
|
| 55 |
+
"ズョ/ zy o",
|
| 56 |
+
"ゼェ/ z e:",
|
| 57 |
+
"ゾォ/ z o:",
|
| 58 |
+
"タァ/ t a:",
|
| 59 |
+
"チィ/ ch i:",
|
| 60 |
+
"ツァ/ ts a",
|
| 61 |
+
"ツィ/ ts i",
|
| 62 |
+
"ツゥ/ ts u:",
|
| 63 |
+
"ツャ/ ch a",
|
| 64 |
+
"ツュ/ ch u",
|
| 65 |
+
"ツョ/ ch o",
|
| 66 |
+
"ツェ/ ts e",
|
| 67 |
+
"ツォ/ ts o",
|
| 68 |
+
"テェ/ t e:",
|
| 69 |
+
"トォ/ t o:",
|
| 70 |
+
"ダァ/ d a:",
|
| 71 |
+
"ヂィ/ j i:",
|
| 72 |
+
"ヅゥ/ d u:",
|
| 73 |
+
"ヅャ/ zy a",
|
| 74 |
+
"ヅュ/ zy u",
|
| 75 |
+
"ヅョ/ zy o",
|
| 76 |
+
"デェ/ d e:",
|
| 77 |
+
"ドォ/ d o:",
|
| 78 |
+
"ナァ/ n a:",
|
| 79 |
+
"ニィ/ n i:",
|
| 80 |
+
"ヌゥ/ n u:",
|
| 81 |
+
"ヌャ/ ny a",
|
| 82 |
+
"ヌュ/ ny u",
|
| 83 |
+
"ヌョ/ ny o",
|
| 84 |
+
"ネェ/ n e:",
|
| 85 |
+
"ノォ/ n o:",
|
| 86 |
+
"ハァ/ h a:",
|
| 87 |
+
"ヒィ/ h i:",
|
| 88 |
+
"フゥ/ f u:",
|
| 89 |
+
"フャ/ hy a",
|
| 90 |
+
"フュ/ hy u",
|
| 91 |
+
"フョ/ hy o",
|
| 92 |
+
"ヘェ/ h e:",
|
| 93 |
+
"ホォ/ h o:",
|
| 94 |
+
"バァ/ b a:",
|
| 95 |
+
"ビィ/ b i:",
|
| 96 |
+
"ブゥ/ b u:",
|
| 97 |
+
"フャ/ hy a",
|
| 98 |
+
"ブュ/ by u",
|
| 99 |
+
"フョ/ hy o",
|
| 100 |
+
"ベェ/ b e:",
|
| 101 |
+
"ボォ/ b o:",
|
| 102 |
+
"パァ/ p a:",
|
| 103 |
+
"ピィ/ p i:",
|
| 104 |
+
"プゥ/ p u:",
|
| 105 |
+
"プャ/ py a",
|
| 106 |
+
"プュ/ py u",
|
| 107 |
+
"プョ/ py o",
|
| 108 |
+
"ペェ/ p e:",
|
| 109 |
+
"ポォ/ p o:",
|
| 110 |
+
"マァ/ m a:",
|
| 111 |
+
"ミィ/ m i:",
|
| 112 |
+
"ムゥ/ m u:",
|
| 113 |
+
"ムャ/ my a",
|
| 114 |
+
"ムュ/ my u",
|
| 115 |
+
"ムョ/ my o",
|
| 116 |
+
"メェ/ m e:",
|
| 117 |
+
"モォ/ m o:",
|
| 118 |
+
"ヤァ/ y a:",
|
| 119 |
+
"ユゥ/ y u:",
|
| 120 |
+
"ユャ/ y a:",
|
| 121 |
+
"ユュ/ y u:",
|
| 122 |
+
"ユョ/ y o:",
|
| 123 |
+
"ヨォ/ y o:",
|
| 124 |
+
"ラァ/ r a:",
|
| 125 |
+
"リィ/ r i:",
|
| 126 |
+
"ルゥ/ r u:",
|
| 127 |
+
"ルャ/ ry a",
|
| 128 |
+
"ルュ/ ry u",
|
| 129 |
+
"ルョ/ ry o",
|
| 130 |
+
"レェ/ r e:",
|
| 131 |
+
"ロォ/ r o:",
|
| 132 |
+
"ワァ/ w a:",
|
| 133 |
+
"ヲォ/ o:",
|
| 134 |
+
"ディ/ d i",
|
| 135 |
+
"デェ/ d e:",
|
| 136 |
+
"デャ/ dy a",
|
| 137 |
+
"デュ/ dy u",
|
| 138 |
+
"デョ/ dy o",
|
| 139 |
+
"ティ/ t i",
|
| 140 |
+
"テェ/ t e:",
|
| 141 |
+
"テャ/ ty a",
|
| 142 |
+
"テュ/ ty u",
|
| 143 |
+
"テョ/ ty o",
|
| 144 |
+
"スィ/ s i",
|
| 145 |
+
"ズァ/ z u a",
|
| 146 |
+
"ズィ/ z i",
|
| 147 |
+
"ズゥ/ z u",
|
| 148 |
+
"ズャ/ zy a",
|
| 149 |
+
"ズュ/ zy u",
|
| 150 |
+
"ズョ/ zy o",
|
| 151 |
+
"ズェ/ z e",
|
| 152 |
+
"ズォ/ z o",
|
| 153 |
+
"キャ/ ky a",
|
| 154 |
+
"キュ/ ky u",
|
| 155 |
+
"キョ/ ky o",
|
| 156 |
+
"シャ/ sh a",
|
| 157 |
+
"シュ/ sh u",
|
| 158 |
+
"シェ/ sh e",
|
| 159 |
+
"ショ/ sh o",
|
| 160 |
+
"チャ/ ch a",
|
| 161 |
+
"チュ/ ch u",
|
| 162 |
+
"チェ/ ch e",
|
| 163 |
+
"チョ/ ch o",
|
| 164 |
+
"トゥ/ t u",
|
| 165 |
+
"トャ/ ty a",
|
| 166 |
+
"トュ/ ty u",
|
| 167 |
+
"トョ/ ty o",
|
| 168 |
+
"ドァ/ d o a",
|
| 169 |
+
"ドゥ/ d u",
|
| 170 |
+
"ドャ/ dy a",
|
| 171 |
+
"ドュ/ dy u",
|
| 172 |
+
"ドョ/ dy o",
|
| 173 |
+
"ドォ/ d o:",
|
| 174 |
+
"ニャ/ ny a",
|
| 175 |
+
"ニュ/ ny u",
|
| 176 |
+
"ニョ/ ny o",
|
| 177 |
+
"ヒャ/ hy a",
|
| 178 |
+
"ヒュ/ hy u",
|
| 179 |
+
"ヒョ/ hy o",
|
| 180 |
+
"ミャ/ my a",
|
| 181 |
+
"ミュ/ my u",
|
| 182 |
+
"ミョ/ my o",
|
| 183 |
+
"リャ/ ry a",
|
| 184 |
+
"リュ/ ry u",
|
| 185 |
+
"リョ/ ry o",
|
| 186 |
+
"ギャ/ gy a",
|
| 187 |
+
"ギュ/ gy u",
|
| 188 |
+
"ギョ/ gy o",
|
| 189 |
+
"ヂェ/ j e",
|
| 190 |
+
"ヂャ/ j a",
|
| 191 |
+
"ヂュ/ j u",
|
| 192 |
+
"ヂョ/ j o",
|
| 193 |
+
"ジェ/ j e",
|
| 194 |
+
"ジャ/ j a",
|
| 195 |
+
"ジュ/ j u",
|
| 196 |
+
"ジョ/ j o",
|
| 197 |
+
"ビャ/ by a",
|
| 198 |
+
"ビュ/ by u",
|
| 199 |
+
"ビョ/ by o",
|
| 200 |
+
"ピャ/ py a",
|
| 201 |
+
"ピュ/ py u",
|
| 202 |
+
"ピョ/ py o",
|
| 203 |
+
"ウァ/ u a",
|
| 204 |
+
"ウィ/ w i",
|
| 205 |
+
"ウェ/ w e",
|
| 206 |
+
"ウォ/ w o",
|
| 207 |
+
"ファ/ f a",
|
| 208 |
+
"フィ/ f i",
|
| 209 |
+
"フゥ/ f u",
|
| 210 |
+
"フャ/ hy a",
|
| 211 |
+
"フュ/ hy u",
|
| 212 |
+
"フョ/ hy o",
|
| 213 |
+
"フェ/ f e",
|
| 214 |
+
"フォ/ f o",
|
| 215 |
+
"ヴァ/ b a",
|
| 216 |
+
"ヴィ/ b i",
|
| 217 |
+
"ヴェ/ b e",
|
| 218 |
+
"ヴォ/ b o",
|
| 219 |
+
"ヴュ/ by u",
|
| 220 |
+
# Conversion of 1 letter
|
| 221 |
+
"ア/ a",
|
| 222 |
+
"イ/ i",
|
| 223 |
+
"ウ/ u",
|
| 224 |
+
"エ/ e",
|
| 225 |
+
"オ/ o",
|
| 226 |
+
"カ/ k a",
|
| 227 |
+
"キ/ k i",
|
| 228 |
+
"ク/ k u",
|
| 229 |
+
"ケ/ k e",
|
| 230 |
+
"コ/ k o",
|
| 231 |
+
"サ/ s a",
|
| 232 |
+
"シ/ sh i",
|
| 233 |
+
"ス/ s u",
|
| 234 |
+
"セ/ s e",
|
| 235 |
+
"ソ/ s o",
|
| 236 |
+
"タ/ t a",
|
| 237 |
+
"チ/ ch i",
|
| 238 |
+
"ツ/ ts u",
|
| 239 |
+
"テ/ t e",
|
| 240 |
+
"ト/ t o",
|
| 241 |
+
"ナ/ n a",
|
| 242 |
+
"ニ/ n i",
|
| 243 |
+
"ヌ/ n u",
|
| 244 |
+
"ネ/ n e",
|
| 245 |
+
"ノ/ n o",
|
| 246 |
+
"ハ/ h a",
|
| 247 |
+
"ヒ/ h i",
|
| 248 |
+
"フ/ f u",
|
| 249 |
+
"ヘ/ h e",
|
| 250 |
+
"ホ/ h o",
|
| 251 |
+
"マ/ m a",
|
| 252 |
+
"ミ/ m i",
|
| 253 |
+
"ム/ m u",
|
| 254 |
+
"メ/ m e",
|
| 255 |
+
"モ/ m o",
|
| 256 |
+
"ラ/ r a",
|
| 257 |
+
"リ/ r i",
|
| 258 |
+
"ル/ r u",
|
| 259 |
+
"レ/ r e",
|
| 260 |
+
"ロ/ r o",
|
| 261 |
+
"ガ/ g a",
|
| 262 |
+
"ギ/ g i",
|
| 263 |
+
"グ/ g u",
|
| 264 |
+
"ゲ/ g e",
|
| 265 |
+
"ゴ/ g o",
|
| 266 |
+
"ザ/ z a",
|
| 267 |
+
"ジ/ j i",
|
| 268 |
+
"ズ/ z u",
|
| 269 |
+
"ゼ/ z e",
|
| 270 |
+
"ゾ/ z o",
|
| 271 |
+
"ダ/ d a",
|
| 272 |
+
"ヂ/ j i",
|
| 273 |
+
"ヅ/ z u",
|
| 274 |
+
"デ/ d e",
|
| 275 |
+
"ド/ d o",
|
| 276 |
+
"バ/ b a",
|
| 277 |
+
"ビ/ b i",
|
| 278 |
+
"ブ/ b u",
|
| 279 |
+
"ベ/ b e",
|
| 280 |
+
"ボ/ b o",
|
| 281 |
+
"パ/ p a",
|
| 282 |
+
"ピ/ p i",
|
| 283 |
+
"プ/ p u",
|
| 284 |
+
"ペ/ p e",
|
| 285 |
+
"ポ/ p o",
|
| 286 |
+
"ヤ/ y a",
|
| 287 |
+
"ユ/ y u",
|
| 288 |
+
"ヨ/ y o",
|
| 289 |
+
"ワ/ w a",
|
| 290 |
+
"ヰ/ i",
|
| 291 |
+
"ヱ/ e",
|
| 292 |
+
"ヲ/ o",
|
| 293 |
+
"ン/ N",
|
| 294 |
+
"ッ/ q",
|
| 295 |
+
"ヴ/ b u",
|
| 296 |
+
"ー/:",
|
| 297 |
+
# Try converting broken text
|
| 298 |
+
"ァ/ a",
|
| 299 |
+
"ィ/ i",
|
| 300 |
+
"ゥ/ u",
|
| 301 |
+
"ェ/ e",
|
| 302 |
+
"ォ/ o",
|
| 303 |
+
"ヮ/ w a",
|
| 304 |
+
"ォ/ o",
|
| 305 |
+
# Try converting broken text
|
| 306 |
+
"ャ/ y a",
|
| 307 |
+
"ョ/ y o",
|
| 308 |
+
"ュ/ y u",
|
| 309 |
+
"琦/ ch i",
|
| 310 |
+
"ヶ/ k e",
|
| 311 |
+
"髙/ t a k a",
|
| 312 |
+
"煞/ sh y a",
|
| 313 |
+
# Symbols
|
| 314 |
+
"、/ ,",
|
| 315 |
+
"。/ .",
|
| 316 |
+
"!/ !",
|
| 317 |
+
"?/ ?",
|
| 318 |
+
"・/ ,",
|
| 319 |
+
]
|
| 320 |
+
|
| 321 |
+
_COLON_RX = re.compile(":+")
|
| 322 |
+
_REJECT_RX = re.compile("[^ a-zA-Z:,.?]")
|
| 323 |
+
|
| 324 |
+
|
| 325 |
+
def _makerulemap():
|
| 326 |
+
l = [tuple(x.split("/")) for x in _CONVRULES]
|
| 327 |
+
return tuple({k: v for k, v in l if len(k) == i} for i in (1, 2))
|
| 328 |
+
|
| 329 |
+
|
| 330 |
+
_RULEMAP1, _RULEMAP2 = _makerulemap()
|
| 331 |
+
|
| 332 |
+
|
| 333 |
+
def kata2phoneme(text: str) -> str:
|
| 334 |
+
"""Convert katakana text to phonemes."""
|
| 335 |
+
text = text.strip()
|
| 336 |
+
res = []
|
| 337 |
+
while text:
|
| 338 |
+
if len(text) >= 2:
|
| 339 |
+
x = _RULEMAP2.get(text[:2])
|
| 340 |
+
if x is not None:
|
| 341 |
+
text = text[2:]
|
| 342 |
+
res += x.split(" ")[1:]
|
| 343 |
+
continue
|
| 344 |
+
x = _RULEMAP1.get(text[0])
|
| 345 |
+
if x is not None:
|
| 346 |
+
text = text[1:]
|
| 347 |
+
res += x.split(" ")[1:]
|
| 348 |
+
continue
|
| 349 |
+
res.append(text[0])
|
| 350 |
+
text = text[1:]
|
| 351 |
+
# res = _COLON_RX.sub(":", res)
|
| 352 |
+
return res
|
| 353 |
+
|
| 354 |
+
|
| 355 |
+
_KATAKANA = "".join(chr(ch) for ch in range(ord("ァ"), ord("ン") + 1))
|
| 356 |
+
_HIRAGANA = "".join(chr(ch) for ch in range(ord("ぁ"), ord("ん") + 1))
|
| 357 |
+
_HIRA2KATATRANS = str.maketrans(_HIRAGANA, _KATAKANA)
|
| 358 |
+
|
| 359 |
+
|
| 360 |
+
def hira2kata(text: str) -> str:
|
| 361 |
+
text = text.translate(_HIRA2KATATRANS)
|
| 362 |
+
return text.replace("う゛", "ヴ")
|
| 363 |
+
|
| 364 |
+
|
| 365 |
+
_SYMBOL_TOKENS = set(list("・、。?!"))
|
| 366 |
+
_NO_YOMI_TOKENS = set(list("「」『』―()[][]"))
|
| 367 |
+
_TAGGER = None #MeCab.Tagger()
|
| 368 |
+
|
| 369 |
+
|
| 370 |
+
def text2kata(text: str) -> str:
|
| 371 |
+
parsed = _TAGGER.parse(text)
|
| 372 |
+
res = []
|
| 373 |
+
for line in parsed.split("\n"):
|
| 374 |
+
if line == "EOS":
|
| 375 |
+
break
|
| 376 |
+
parts = line.split("\t")
|
| 377 |
+
|
| 378 |
+
word, yomi = parts[0], parts[1]
|
| 379 |
+
if yomi:
|
| 380 |
+
try:
|
| 381 |
+
res.append(yomi.split(',')[6])
|
| 382 |
+
except:
|
| 383 |
+
import pdb; pdb.set_trace()
|
| 384 |
+
else:
|
| 385 |
+
if word in _SYMBOL_TOKENS:
|
| 386 |
+
res.append(word)
|
| 387 |
+
elif word in ("っ", "ッ"):
|
| 388 |
+
res.append("ッ")
|
| 389 |
+
elif word in _NO_YOMI_TOKENS:
|
| 390 |
+
pass
|
| 391 |
+
else:
|
| 392 |
+
res.append(word)
|
| 393 |
+
return hira2kata("".join(res))
|
| 394 |
+
|
| 395 |
+
|
| 396 |
+
_ALPHASYMBOL_YOMI = {
|
| 397 |
+
"#": "シャープ",
|
| 398 |
+
"%": "パーセント",
|
| 399 |
+
"&": "アンド",
|
| 400 |
+
"+": "プラス",
|
| 401 |
+
"-": "マイナス",
|
| 402 |
+
":": "コロン",
|
| 403 |
+
";": "セミコロン",
|
| 404 |
+
"<": "小なり",
|
| 405 |
+
"=": "イコール",
|
| 406 |
+
">": "大なり",
|
| 407 |
+
"@": "アット",
|
| 408 |
+
"a": "エー",
|
| 409 |
+
"b": "ビー",
|
| 410 |
+
"c": "シー",
|
| 411 |
+
"d": "ディー",
|
| 412 |
+
"e": "イー",
|
| 413 |
+
"f": "エフ",
|
| 414 |
+
"g": "ジー",
|
| 415 |
+
"h": "エイチ",
|
| 416 |
+
"i": "アイ",
|
| 417 |
+
"j": "ジェー",
|
| 418 |
+
"k": "ケー",
|
| 419 |
+
"l": "エル",
|
| 420 |
+
"m": "エム",
|
| 421 |
+
"n": "エヌ",
|
| 422 |
+
"o": "オー",
|
| 423 |
+
"p": "ピー",
|
| 424 |
+
"q": "キュー",
|
| 425 |
+
"r": "アール",
|
| 426 |
+
"s": "エス",
|
| 427 |
+
"t": "ティー",
|
| 428 |
+
"u": "ユー",
|
| 429 |
+
"v": "ブイ",
|
| 430 |
+
"w": "ダブリュー",
|
| 431 |
+
"x": "エックス",
|
| 432 |
+
"y": "ワイ",
|
| 433 |
+
"z": "ゼット",
|
| 434 |
+
"α": "アルファ",
|
| 435 |
+
"β": "ベータ",
|
| 436 |
+
"γ": "ガンマ",
|
| 437 |
+
"δ": "デルタ",
|
| 438 |
+
"ε": "イプシロン",
|
| 439 |
+
"ζ": "ゼータ",
|
| 440 |
+
"η": "イータ",
|
| 441 |
+
"θ": "シータ",
|
| 442 |
+
"ι": "イオタ",
|
| 443 |
+
"κ": "カッパ",
|
| 444 |
+
"λ": "ラムダ",
|
| 445 |
+
"μ": "ミュー",
|
| 446 |
+
"ν": "ニュー",
|
| 447 |
+
"ξ": "クサイ",
|
| 448 |
+
"ο": "オミクロン",
|
| 449 |
+
"π": "パイ",
|
| 450 |
+
"ρ": "ロー",
|
| 451 |
+
"σ": "シグマ",
|
| 452 |
+
"τ": "タウ",
|
| 453 |
+
"υ": "ウプシロン",
|
| 454 |
+
"φ": "ファイ",
|
| 455 |
+
"χ": "カイ",
|
| 456 |
+
"ψ": "プサイ",
|
| 457 |
+
"ω": "オメガ",
|
| 458 |
+
}
|
| 459 |
+
|
| 460 |
+
|
| 461 |
+
_NUMBER_WITH_SEPARATOR_RX = re.compile("[0-9]{1,3}(,[0-9]{3})+")
|
| 462 |
+
_CURRENCY_MAP = {"$": "ドル", "¥": "円", "£": "ポンド", "€": "ユーロ"}
|
| 463 |
+
_CURRENCY_RX = re.compile(r"([$¥£€])([0-9.]*[0-9])")
|
| 464 |
+
_NUMBER_RX = re.compile(r"[0-9]+(\.[0-9]+)?")
|
| 465 |
+
|
| 466 |
+
|
| 467 |
+
def japanese_convert_numbers_to_words(text: str) -> str:
|
| 468 |
+
res = _NUMBER_WITH_SEPARATOR_RX.sub(lambda m: m[0].replace(",", ""), text)
|
| 469 |
+
res = _CURRENCY_RX.sub(lambda m: m[2] + _CURRENCY_MAP.get(m[1], m[1]), res)
|
| 470 |
+
res = _NUMBER_RX.sub(lambda m: num2words(m[0], lang="ja"), res)
|
| 471 |
+
return res
|
| 472 |
+
|
| 473 |
+
|
| 474 |
+
def japanese_convert_alpha_symbols_to_words(text: str) -> str:
|
| 475 |
+
return "".join([_ALPHASYMBOL_YOMI.get(ch, ch) for ch in text.lower()])
|
| 476 |
+
|
| 477 |
+
|
| 478 |
+
def japanese_text_to_phonemes(text: str) -> str:
|
| 479 |
+
"""Convert Japanese text to phonemes."""
|
| 480 |
+
res = unicodedata.normalize("NFKC", text)
|
| 481 |
+
res = japanese_convert_numbers_to_words(res)
|
| 482 |
+
res = japanese_convert_alpha_symbols_to_words(res)
|
| 483 |
+
res = text2kata(res)
|
| 484 |
+
res = kata2phoneme(res)
|
| 485 |
+
return res
|
| 486 |
+
|
| 487 |
+
|
| 488 |
+
def is_japanese_character(char):
|
| 489 |
+
# 定义日语文字系统的 Unicode 范围
|
| 490 |
+
japanese_ranges = [
|
| 491 |
+
(0x3040, 0x309F), # 平假名
|
| 492 |
+
(0x30A0, 0x30FF), # 片假名
|
| 493 |
+
(0x4E00, 0x9FFF), # 汉字 (CJK Unified Ideographs)
|
| 494 |
+
(0x3400, 0x4DBF), # 汉字扩展 A
|
| 495 |
+
(0x20000, 0x2A6DF), # 汉字扩展 B
|
| 496 |
+
# 可以根据需要添加其他汉字扩展范围
|
| 497 |
+
]
|
| 498 |
+
|
| 499 |
+
# 将字符的 Unicode 编码转换为整数
|
| 500 |
+
char_code = ord(char)
|
| 501 |
+
|
| 502 |
+
# 检查字符是否在任何一个日语范围内
|
| 503 |
+
for start, end in japanese_ranges:
|
| 504 |
+
if start <= char_code <= end:
|
| 505 |
+
return True
|
| 506 |
+
|
| 507 |
+
return False
|
| 508 |
+
|
| 509 |
+
|
| 510 |
+
rep_map = {
|
| 511 |
+
":": ",",
|
| 512 |
+
";": ",",
|
| 513 |
+
",": ",",
|
| 514 |
+
"。": ".",
|
| 515 |
+
"!": "!",
|
| 516 |
+
"?": "?",
|
| 517 |
+
"\n": ".",
|
| 518 |
+
"·": ",",
|
| 519 |
+
"、": ",",
|
| 520 |
+
"...": "…",
|
| 521 |
+
}
|
| 522 |
+
|
| 523 |
+
|
| 524 |
+
def replace_punctuation(text):
|
| 525 |
+
pattern = re.compile("|".join(re.escape(p) for p in rep_map.keys()))
|
| 526 |
+
|
| 527 |
+
replaced_text = pattern.sub(lambda x: rep_map[x.group()], text)
|
| 528 |
+
|
| 529 |
+
replaced_text = re.sub(
|
| 530 |
+
r"[^\u3040-\u309F\u30A0-\u30FF\u4E00-\u9FFF\u3400-\u4DBF"
|
| 531 |
+
+ "".join(punctuation)
|
| 532 |
+
+ r"]+",
|
| 533 |
+
"",
|
| 534 |
+
replaced_text,
|
| 535 |
+
)
|
| 536 |
+
|
| 537 |
+
return replaced_text
|
| 538 |
+
|
| 539 |
+
from pykakasi import kakasi
|
| 540 |
+
# Initialize kakasi object
|
| 541 |
+
kakasi = kakasi()
|
| 542 |
+
# Set options for converting Chinese characters to Katakana
|
| 543 |
+
kakasi.setMode("J", "K") # Chinese to Katakana
|
| 544 |
+
kakasi.setMode("H", "K") # Hiragana to Katakana
|
| 545 |
+
# Convert Chinese characters to Katakana
|
| 546 |
+
conv = kakasi.getConverter()
|
| 547 |
+
|
| 548 |
+
def text_normalize(text):
|
| 549 |
+
res = unicodedata.normalize("NFKC", text)
|
| 550 |
+
res = japanese_convert_numbers_to_words(res)
|
| 551 |
+
res = "".join([i for i in res if is_japanese_character(i)])
|
| 552 |
+
res = replace_punctuation(res)
|
| 553 |
+
res = conv.do(res)
|
| 554 |
+
return res
|
| 555 |
+
|
| 556 |
+
|
| 557 |
+
def distribute_phone(n_phone, n_word):
|
| 558 |
+
phones_per_word = [0] * n_word
|
| 559 |
+
for task in range(n_phone):
|
| 560 |
+
min_tasks = min(phones_per_word)
|
| 561 |
+
min_index = phones_per_word.index(min_tasks)
|
| 562 |
+
phones_per_word[min_index] += 1
|
| 563 |
+
return phones_per_word
|
| 564 |
+
|
| 565 |
+
|
| 566 |
+
|
| 567 |
+
# tokenizer = AutoTokenizer.from_pretrained('cl-tohoku/bert-base-japanese-v3')
|
| 568 |
+
|
| 569 |
+
model_id = 'tohoku-nlp/bert-base-japanese-v3'
|
| 570 |
+
tokenizer = AutoTokenizer.from_pretrained(model_id)
|
| 571 |
+
def g2p(norm_text):
|
| 572 |
+
|
| 573 |
+
tokenized = tokenizer.tokenize(norm_text)
|
| 574 |
+
phs = []
|
| 575 |
+
ph_groups = []
|
| 576 |
+
for t in tokenized:
|
| 577 |
+
if not t.startswith("#"):
|
| 578 |
+
ph_groups.append([t])
|
| 579 |
+
else:
|
| 580 |
+
ph_groups[-1].append(t.replace("#", ""))
|
| 581 |
+
word2ph = []
|
| 582 |
+
for group in ph_groups:
|
| 583 |
+
text = ""
|
| 584 |
+
for ch in group:
|
| 585 |
+
text += ch
|
| 586 |
+
if text == '[UNK]':
|
| 587 |
+
phs += ['_']
|
| 588 |
+
word2ph += [1]
|
| 589 |
+
continue
|
| 590 |
+
elif text in punctuation:
|
| 591 |
+
phs += [text]
|
| 592 |
+
word2ph += [1]
|
| 593 |
+
continue
|
| 594 |
+
# import pdb; pdb.set_trace()
|
| 595 |
+
# phonemes = japanese_text_to_phonemes(text)
|
| 596 |
+
phonemes = kata2phoneme(text)
|
| 597 |
+
# phonemes = [i for i in phonemes if i in symbols]
|
| 598 |
+
for i in phonemes:
|
| 599 |
+
assert i in symbols, (group, norm_text, tokenized, i)
|
| 600 |
+
phone_len = len(phonemes)
|
| 601 |
+
word_len = len(group)
|
| 602 |
+
|
| 603 |
+
aaa = distribute_phone(phone_len, word_len)
|
| 604 |
+
assert len(aaa) == word_len
|
| 605 |
+
word2ph += aaa
|
| 606 |
+
|
| 607 |
+
phs += phonemes
|
| 608 |
+
phones = ["_"] + phs + ["_"]
|
| 609 |
+
tones = [0 for i in phones]
|
| 610 |
+
word2ph = [1] + word2ph + [1]
|
| 611 |
+
assert len(word2ph) == len(tokenized) + 2
|
| 612 |
+
return phones, tones, word2ph
|
| 613 |
+
|
| 614 |
+
def get_bert_feature(text, word2ph, device):
|
| 615 |
+
from text import japanese_bert
|
| 616 |
+
|
| 617 |
+
return japanese_bert.get_bert_feature(text, word2ph, device=device)
|
| 618 |
+
|
| 619 |
+
|
| 620 |
+
if __name__ == "__main__":
|
| 621 |
+
# tokenizer = AutoTokenizer.from_pretrained("./bert/bert-base-japanese-v3")
|
| 622 |
+
text = "こんにちは、世界!..."
|
| 623 |
+
text = 'ええ、僕はおきなと申します。こちらの小さいわらべは杏子。ご挨拶が遅れてしまいすみません。あなたの名は?'
|
| 624 |
+
text = 'あの、お前以外のみんなは、全員生きてること?'
|
| 625 |
+
from text.japanese_bert import get_bert_feature
|
| 626 |
+
|
| 627 |
+
text = text_normalize(text)
|
| 628 |
+
print(text)
|
| 629 |
+
phones, tones, word2ph = g2p(text)
|
| 630 |
+
bert = get_bert_feature(text, word2ph)
|
| 631 |
+
|
| 632 |
+
print(phones, tones, word2ph, bert.shape)
|
| 633 |
+
|
| 634 |
+
# if __name__ == '__main__':
|
| 635 |
+
# from pykakasi import kakasi
|
| 636 |
+
# # Initialize kakasi object
|
| 637 |
+
# kakasi = kakasi()
|
| 638 |
+
|
| 639 |
+
# # Set options for converting Chinese characters to Katakana
|
| 640 |
+
# kakasi.setMode("J", "H") # Chinese to Katakana
|
| 641 |
+
# kakasi.setMode("K", "H") # Hiragana to Katakana
|
| 642 |
+
|
| 643 |
+
# # Convert Chinese characters to Katakana
|
| 644 |
+
# conv = kakasi.getConverter()
|
| 645 |
+
# katakana_text = conv.do('ええ、僕はおきなと申します。こちらの小さいわらべは杏子。ご挨拶が遅れてしまいすみません。あなたの名は?') # Replace with your Chinese text
|
| 646 |
+
|
| 647 |
+
# print(katakana_text) # Output: ニーハオセカイ
|