GPT_SoVITS/text/japanese.py

# modified from https://github.com/CjangCjengh/vits/blob/main/text/japanese.py
import re
import sys

import pyopenjtalk

from text import symbols

# Regular expression matching Japanese without punctuation marks:
_japanese_characters = re.compile(
    r"[A-Za-z\d\u3005\u3040-\u30ff\u4e00-\u9fff\uff11-\uff19\uff21-\uff3a\uff41-\uff5a\uff66-\uff9d]"
)

# Regular expression matching non-Japanese characters or punctuation marks:
_japanese_marks = re.compile(
    r"[^A-Za-z\d\u3005\u3040-\u30ff\u4e00-\u9fff\uff11-\uff19\uff21-\uff3a\uff41-\uff5a\uff66-\uff9d]"
)

# List of (symbol, Japanese) pairs for marks:
_symbols_to_japanese = [(re.compile("%s" % x[0]), x[1]) for x in [("％", "パーセント")]]


# List of (consonant, sokuon) pairs:
_real_sokuon = [
    (re.compile("%s" % x[0]), x[1])
    for x in [
        (r"Q([↑↓]*[kg])", r"k#\1"),
        (r"Q([↑↓]*[tdjʧ])", r"t#\1"),
        (r"Q([↑↓]*[sʃ])", r"s\1"),
        (r"Q([↑↓]*[pb])", r"p#\1"),
    ]
]

# List of (consonant, hatsuon) pairs:
_real_hatsuon = [
    (re.compile("%s" % x[0]), x[1])
    for x in [
        (r"N([↑↓]*[pbm])", r"m\1"),
        (r"N([↑↓]*[ʧʥj])", r"n^\1"),
        (r"N([↑↓]*[tdn])", r"n\1"),
        (r"N([↑↓]*[kg])", r"ŋ\1"),
    ]
]


def post_replace_ph(ph):
    rep_map = {
        "：": ",",
        "；": ",",
        "，": ",",
        "。": ".",
        "！": "!",
        "？": "?",
        "\n": ".",
        "·": ",",
        "、": ",",
        "...": "…",
    }
    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


def symbols_to_japanese(text):
    for regex, replacement in _symbols_to_japanese:
        text = re.sub(regex, replacement, text)
    return text


def preprocess_jap(text):
    """Reference https://r9y9.github.io/ttslearn/latest/notebooks/ch10_Recipe-Tacotron.html"""
    text = symbols_to_japanese(text)
    sentences = re.split(_japanese_marks, text)
    marks = re.findall(_japanese_marks, text)
    text = []
    for i, sentence in enumerate(sentences):
        if re.match(_japanese_characters, sentence):
            p = pyopenjtalk.g2p(sentence)
            text += p.split(" ")

        if i < len(marks):
            text += [marks[i].replace(" ", "")]
    return text


def text_normalize(text):
    # todo: jap text normalize
    return text


def g2p(norm_text):
    phones = preprocess_jap(norm_text)
    phones = [post_replace_ph(i) for i in phones]
    # todo: implement tones and word2ph
    return phones


if __name__ == "__main__":
    for line in open("../../../Downloads/transcript_utf8.txt").readlines():
        text = line.split(":")[1]
        phones = g2p(text)
        print(phones)