Release Inflect-Nano-v1
This commit is contained in:
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from .symbols import *
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_symbol_to_id = {s: i for i, s in enumerate(symbols)}
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def phonemes_to_ids(cleaned_text, tones, language, symbol_to_id=None):
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"""Converts a list of phoneme symbols to a sequence of integer IDs."""
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symbol_to_id_map = symbol_to_id if symbol_to_id else _symbol_to_id
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unk_id = symbol_to_id_map.get("UNK")
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if unk_id is None:
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phones = [symbol_to_id_map[symbol] for symbol in cleaned_text]
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else:
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phones = [symbol_to_id_map.get(symbol, unk_id) for symbol in cleaned_text]
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tone_start = language_tone_start_map[language]
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tones = [i + tone_start for i in tones]
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lang_id = language_id_map[language]
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lang_ids = [lang_id for _ in phones]
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return phones, tones, lang_ids
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import pickle
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import os
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import re
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from g2p_en import G2p
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from . import symbols
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from .english_utils.abbreviations import expand_abbreviations
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from .english_utils.time_norm import expand_time_english
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from .english_utils.number_norm import normalize_numbers
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def distribute_phone(n_phone, n_word):
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phones_per_word = [0] * n_word
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for task in range(n_phone):
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min_tasks = min(phones_per_word)
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min_indices = [
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i for i, x in enumerate(phones_per_word) if x == min_tasks
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]
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chosen_index = min_indices[len(min_indices) // 2]
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phones_per_word[chosen_index] += 1
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return phones_per_word
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from transformers import AutoTokenizer
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current_file_path = os.path.dirname(__file__)
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CMU_DICT_PATH = os.path.join(current_file_path, "cmudict.rep")
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CACHE_PATH = os.path.join(current_file_path, "cmudict_cache.pickle")
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_g2p = G2p()
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arpa = {
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"AH0", "S", "AH1", "EY2", "AE2", "EH0", "OW2", "UH0", "NG", "B",
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"G", "AY0", "M", "AA0", "F", "AO0", "ER2", "UH1", "IY1", "AH2",
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"DH", "IY0", "EY1", "IH0", "K", "N", "W", "IY2", "T", "AA1",
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"ER1", "EH2", "OY0", "UH2", "UW1", "Z", "AW2", "AW1", "V", "UW2",
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"AA2", "ER", "AW0", "UW0", "R", "OW1", "EH1", "ZH", "AE0", "IH2",
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"IH", "Y", "JH", "P", "AY1", "EY0", "OY2", "TH", "HH", "D",
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"ER0", "CH", "AO1", "AE1", "AO2", "OY1", "AY2", "IH1", "OW0", "L", "SH",
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}
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def map_phoneme(ph):
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rep_map = {
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":": ",", ";": ",", ",": ",", "。": ".", "!": "!",
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"?": "?", "\n": ".", "·": ",", "、": ",", "...": "…", "v": "V",
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}
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if ph in rep_map.keys():
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ph = rep_map[ph]
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if ph in symbols:
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return ph
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if ph not in symbols:
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ph = "UNK"
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return ph
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def read_dict():
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g2p_dict = {}
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start_line = 49
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with open(CMU_DICT_PATH) as f:
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line = f.readline()
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line_index = 1
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while line:
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if line_index >= start_line:
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line = line.strip()
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word_split = line.split(" ")
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word = word_split[0]
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syllable_split = word_split[1].split(" - ")
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g2p_dict[word] = []
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for syllable in syllable_split:
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phone_split = syllable.split(" ")
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g2p_dict[word].append(phone_split)
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line_index = line_index + 1
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line = f.readline()
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return g2p_dict
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def cache_dict(g2p_dict, file_path):
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with open(file_path, "wb") as pickle_file:
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pickle.dump(g2p_dict, pickle_file)
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def get_dict():
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if os.path.exists(CACHE_PATH):
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with open(CACHE_PATH, "rb") as pickle_file:
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g2p_dict = pickle.load(pickle_file)
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else:
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g2p_dict = read_dict()
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cache_dict(g2p_dict, CACHE_PATH)
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return g2p_dict
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eng_dict = get_dict()
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def parse_phoneme(phn):
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tone = 0
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if re.search(r"\d$", phn):
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tone = int(phn[-1]) + 1
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phn = phn[:-1]
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return phn.lower(), tone
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def parse_syllables(syllables):
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tones = []
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phonemes = []
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for phn_list in syllables:
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for i in range(len(phn_list)):
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phn = phn_list[i]
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phn, tone = parse_phoneme(phn)
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phonemes.append(phn)
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tones.append(tone)
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return phonemes, tones
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def normalize_text(text):
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text = text.lower()
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text = expand_time_english(text)
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text = normalize_numbers(text)
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text = expand_abbreviations(text)
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return text
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model_id = 'bert-base-uncased'
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tokenizer = AutoTokenizer.from_pretrained(model_id)
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def grapheme_to_phoneme(text, pad_start_end=True, tokenized=None):
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if tokenized is None:
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tokenized = tokenizer.tokenize(text)
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ph_groups = []
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for t in tokenized:
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if not t.startswith("#"):
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ph_groups.append([t])
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else:
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ph_groups[-1].append(t.replace("#", ""))
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phones = []
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tones = []
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word2ph = []
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for group in ph_groups:
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w = "".join(group)
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phone_len = 0
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word_len = len(group)
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if w.upper() in eng_dict:
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phns, tns = parse_syllables(eng_dict[w.upper()])
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phones += phns
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tones += tns
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phone_len += len(phns)
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else:
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phone_list = list(filter(lambda p: p != " ", _g2p(w)))
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for ph in phone_list:
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if ph in arpa:
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ph, tn = parse_phoneme(ph)
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phones.append(ph)
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tones.append(tn)
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else:
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phones.append(ph)
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tones.append(0)
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phone_len += 1
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aaa = distribute_phone(phone_len, word_len)
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word2ph += aaa
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phones = [map_phoneme(i) for i in phones]
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if pad_start_end:
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phones = ["_"] + phones + ["_"]
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tones = [0] + tones + [0]
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word2ph = [1] + word2ph + [1]
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return phones, tones, word2ph
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import re
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# List of (regular expression, replacement) pairs for abbreviations in english:
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abbreviations_en = [
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(re.compile("\\b%s\\." % x[0], re.IGNORECASE), x[1])
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for x in [
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("mrs", "misess"),
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("mr", "mister"),
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("dr", "doctor"),
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("st", "saint"),
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("co", "company"),
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("jr", "junior"),
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("maj", "major"),
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("gen", "general"),
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("drs", "doctors"),
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("rev", "reverend"),
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("lt", "lieutenant"),
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("hon", "honorable"),
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("sgt", "sergeant"),
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("capt", "captain"),
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("esq", "esquire"),
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("ltd", "limited"),
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("col", "colonel"),
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("ft", "fort"),
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]
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]
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def expand_abbreviations(text, lang="en"):
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if lang == "en":
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_abbreviations = abbreviations_en
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else:
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raise NotImplementedError()
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for regex, replacement in _abbreviations:
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text = re.sub(regex, replacement, text)
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return text
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@@ -0,0 +1,97 @@
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""" from https://github.com/keithito/tacotron """
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import re
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from typing import Dict
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import inflect
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_inflect = inflect.engine()
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_comma_number_re = re.compile(r"([0-9][0-9\,]+[0-9])")
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_decimal_number_re = re.compile(r"([0-9]+\.[0-9]+)")
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_currency_re = re.compile(r"(£|\$|¥)([0-9\,\.]*[0-9]+)")
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_ordinal_re = re.compile(r"[0-9]+(st|nd|rd|th)")
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_number_re = re.compile(r"-?[0-9]+")
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def _remove_commas(m):
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return m.group(1).replace(",", "")
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def _expand_decimal_point(m):
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return m.group(1).replace(".", " point ")
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def __expand_currency(value: str, inflection: Dict[float, str]) -> str:
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parts = value.replace(",", "").split(".")
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if len(parts) > 2:
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return f"{value} {inflection[2]}" # Unexpected format
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text = []
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integer = int(parts[0]) if parts[0] else 0
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if integer > 0:
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integer_unit = inflection.get(integer, inflection[2])
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text.append(f"{integer} {integer_unit}")
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fraction = int(parts[1]) if len(parts) > 1 and parts[1] else 0
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if fraction > 0:
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fraction_unit = inflection.get(fraction / 100, inflection[0.02])
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text.append(f"{fraction} {fraction_unit}")
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if len(text) == 0:
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return f"zero {inflection[2]}"
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return " ".join(text)
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def _expand_currency(m: "re.Match") -> str:
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currencies = {
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"$": {
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0.01: "cent",
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0.02: "cents",
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1: "dollar",
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2: "dollars",
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},
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"€": {
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0.01: "cent",
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0.02: "cents",
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1: "euro",
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2: "euros",
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},
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"£": {
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0.01: "penny",
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0.02: "pence",
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1: "pound sterling",
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2: "pounds sterling",
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},
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"¥": {
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# TODO rin
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0.02: "sen",
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2: "yen",
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},
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}
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unit = m.group(1)
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currency = currencies[unit]
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value = m.group(2)
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return __expand_currency(value, currency)
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def _expand_ordinal(m):
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return _inflect.number_to_words(m.group(0))
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def _expand_number(m):
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num = int(m.group(0))
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if 1000 < num < 3000:
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if num == 2000:
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return "two thousand"
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if 2000 < num < 2010:
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return "two thousand " + _inflect.number_to_words(num % 100)
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if num % 100 == 0:
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return _inflect.number_to_words(num // 100) + " hundred"
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return _inflect.number_to_words(num, andword="", zero="oh", group=2).replace(", ", " ")
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return _inflect.number_to_words(num, andword="")
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def normalize_numbers(text):
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text = re.sub(_comma_number_re, _remove_commas, text)
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text = re.sub(_currency_re, _expand_currency, text)
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text = re.sub(_decimal_number_re, _expand_decimal_point, text)
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text = re.sub(_ordinal_re, _expand_ordinal, text)
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text = re.sub(_number_re, _expand_number, text)
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return text
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@@ -0,0 +1,47 @@
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import re
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import inflect
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_inflect = inflect.engine()
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_time_re = re.compile(
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r"""\b
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((0?[0-9])|(1[0-1])|(1[2-9])|(2[0-3])) # hours
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:
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([0-5][0-9]) # minutes
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\s*(a\\.m\\.|am|pm|p\\.m\\.|a\\.m|p\\.m)? # am/pm
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\b""",
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re.IGNORECASE | re.X,
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)
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def _expand_num(n: int) -> str:
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return _inflect.number_to_words(n)
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def _expand_time_english(match: "re.Match") -> str:
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hour = int(match.group(1))
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past_noon = hour >= 12
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time = []
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if hour > 12:
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hour -= 12
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elif hour == 0:
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hour = 12
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past_noon = True
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time.append(_expand_num(hour))
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minute = int(match.group(6))
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if minute > 0:
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if minute < 10:
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time.append("oh")
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time.append(_expand_num(minute))
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am_pm = match.group(7)
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if am_pm is None:
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time.append("p m" if past_noon else "a m")
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else:
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time.extend(list(am_pm.replace(".", "")))
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return " ".join(time)
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def expand_time_english(text: str) -> str:
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return re.sub(_time_re, _expand_time_english, text)
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@@ -0,0 +1,293 @@
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# punctuation = ["!", "?", "…", ",", ".", "'", "-"]
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punctuation = ["!", "?", "…", ",", ".", "'", "-", "¿", "¡"]
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pu_symbols = punctuation + ["SP", "UNK"]
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pad = "_"
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# chinese
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zh_symbols = [
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"E",
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"En",
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"a",
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"ai",
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"an",
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"ang",
|
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"ao",
|
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"b",
|
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"c",
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"ch",
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"d",
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"e",
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"ei",
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"en",
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"eng",
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"er",
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"f",
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"g",
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"h",
|
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"i",
|
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"i0",
|
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"ia",
|
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"ian",
|
||||
"iang",
|
||||
"iao",
|
||||
"ie",
|
||||
"in",
|
||||
"ing",
|
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"iong",
|
||||
"ir",
|
||||
"iu",
|
||||
"j",
|
||||
"k",
|
||||
"l",
|
||||
"m",
|
||||
"n",
|
||||
"o",
|
||||
"ong",
|
||||
"ou",
|
||||
"p",
|
||||
"q",
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||||
"r",
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"s",
|
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"sh",
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"t",
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"u",
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"ua",
|
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"uai",
|
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"uan",
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"uang",
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"ui",
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"un",
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"uo",
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||||
"v",
|
||||
"van",
|
||||
"ve",
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||||
"vn",
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||||
"w",
|
||||
"x",
|
||||
"y",
|
||||
"z",
|
||||
"zh",
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||||
"AA",
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"EE",
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"OO",
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]
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num_zh_tones = 6
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|
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# japanese
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ja_symbols = [
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"N",
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"a",
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"a:",
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"b",
|
||||
"by",
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||||
"ch",
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||||
"d",
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||||
"dy",
|
||||
"e",
|
||||
"e:",
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||||
"f",
|
||||
"g",
|
||||
"gy",
|
||||
"h",
|
||||
"hy",
|
||||
"i",
|
||||
"i:",
|
||||
"j",
|
||||
"k",
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||||
"ky",
|
||||
"m",
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||||
"my",
|
||||
"n",
|
||||
"ny",
|
||||
"o",
|
||||
"o:",
|
||||
"p",
|
||||
"py",
|
||||
"q",
|
||||
"r",
|
||||
"ry",
|
||||
"s",
|
||||
"sh",
|
||||
"t",
|
||||
"ts",
|
||||
"ty",
|
||||
"u",
|
||||
"u:",
|
||||
"w",
|
||||
"y",
|
||||
"z",
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||||
"zy",
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||||
]
|
||||
num_ja_tones = 1
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||||
# English
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||||
en_symbols = [
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"aa",
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||||
"ae",
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||||
"ah",
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||||
"ao",
|
||||
"aw",
|
||||
"ay",
|
||||
"b",
|
||||
"ch",
|
||||
"d",
|
||||
"dh",
|
||||
"eh",
|
||||
"er",
|
||||
"ey",
|
||||
"f",
|
||||
"g",
|
||||
"hh",
|
||||
"ih",
|
||||
"iy",
|
||||
"jh",
|
||||
"k",
|
||||
"l",
|
||||
"m",
|
||||
"n",
|
||||
"ng",
|
||||
"ow",
|
||||
"oy",
|
||||
"p",
|
||||
"r",
|
||||
"s",
|
||||
"sh",
|
||||
"t",
|
||||
"th",
|
||||
"uh",
|
||||
"uw",
|
||||
"V",
|
||||
"w",
|
||||
"y",
|
||||
"z",
|
||||
"zh",
|
||||
]
|
||||
num_en_tones = 4
|
||||
|
||||
# Korean
|
||||
kr_symbols = ['ᄌ', 'ᅥ', 'ᆫ', 'ᅦ', 'ᄋ', 'ᅵ', 'ᄅ', 'ᅴ', 'ᄀ', 'ᅡ', 'ᄎ', 'ᅪ', 'ᄑ', 'ᅩ', 'ᄐ', 'ᄃ', 'ᅢ', 'ᅮ', 'ᆼ', 'ᅳ', 'ᄒ', 'ᄆ', 'ᆯ', 'ᆷ', 'ᄂ', 'ᄇ', 'ᄉ', 'ᆮ', 'ᄁ', 'ᅬ', 'ᅣ', 'ᄄ', 'ᆨ', 'ᄍ', 'ᅧ', 'ᄏ', 'ᆸ', 'ᅭ', '(', 'ᄊ', ')', 'ᅲ', 'ᅨ', 'ᄈ', 'ᅱ', 'ᅯ', 'ᅫ', 'ᅰ', 'ᅤ', '~', '\\', '[', ']', '/', '^', ':', 'ㄸ', '*']
|
||||
num_kr_tones = 1
|
||||
|
||||
# Spanish
|
||||
es_symbols = [
|
||||
"N",
|
||||
"Q",
|
||||
"a",
|
||||
"b",
|
||||
"d",
|
||||
"e",
|
||||
"f",
|
||||
"g",
|
||||
"h",
|
||||
"i",
|
||||
"j",
|
||||
"k",
|
||||
"l",
|
||||
"m",
|
||||
"n",
|
||||
"o",
|
||||
"p",
|
||||
"s",
|
||||
"t",
|
||||
"u",
|
||||
"v",
|
||||
"w",
|
||||
"x",
|
||||
"y",
|
||||
"z",
|
||||
"ɑ",
|
||||
"æ",
|
||||
"ʃ",
|
||||
"ʑ",
|
||||
"ç",
|
||||
"ɯ",
|
||||
"ɪ",
|
||||
"ɔ",
|
||||
"ɛ",
|
||||
"ɹ",
|
||||
"ð",
|
||||
"ə",
|
||||
"ɫ",
|
||||
"ɥ",
|
||||
"ɸ",
|
||||
"ʊ",
|
||||
"ɾ",
|
||||
"ʒ",
|
||||
"θ",
|
||||
"β",
|
||||
"ŋ",
|
||||
"ɦ",
|
||||
"ɡ",
|
||||
"r",
|
||||
"ɲ",
|
||||
"ʝ",
|
||||
"ɣ",
|
||||
"ʎ",
|
||||
"ˈ",
|
||||
"ˌ",
|
||||
"ː"
|
||||
]
|
||||
num_es_tones = 1
|
||||
|
||||
# French
|
||||
fr_symbols = [
|
||||
"\u0303",
|
||||
"œ",
|
||||
"ø",
|
||||
"ʁ",
|
||||
"ɒ",
|
||||
"ʌ",
|
||||
"ɜ",
|
||||
"ɐ"
|
||||
]
|
||||
num_fr_tones = 1
|
||||
|
||||
# German
|
||||
de_symbols = [
|
||||
"ʏ",
|
||||
"̩"
|
||||
]
|
||||
num_de_tones = 1
|
||||
|
||||
# Russian
|
||||
ru_symbols = [
|
||||
"ɭ",
|
||||
"ʲ",
|
||||
"ɕ",
|
||||
"\"",
|
||||
"ɵ",
|
||||
"^",
|
||||
"ɬ"
|
||||
]
|
||||
num_ru_tones = 1
|
||||
|
||||
# combine all symbols
|
||||
normal_symbols = sorted(set(zh_symbols + ja_symbols + en_symbols + kr_symbols + es_symbols + fr_symbols + de_symbols + ru_symbols))
|
||||
symbols = [pad] + normal_symbols + pu_symbols
|
||||
sil_phonemes_ids = [symbols.index(i) for i in pu_symbols]
|
||||
|
||||
# combine all tones
|
||||
num_tones = num_zh_tones + num_ja_tones + num_en_tones + num_kr_tones + num_es_tones + num_fr_tones + num_de_tones + num_ru_tones
|
||||
|
||||
# language maps
|
||||
language_id_map = {"ZH": 0, "JP": 1, "EN": 2, "ZH_MIX_EN": 3, 'KR': 4, 'ES': 5, 'SP': 5, 'FR': 6, 'DE': 7, 'RU': 8, 'VI': 9}
|
||||
num_languages = 10
|
||||
|
||||
language_tone_start_map = {
|
||||
"ZH": 0,
|
||||
"ZH_MIX_EN": 0,
|
||||
"JP": num_zh_tones,
|
||||
"EN": num_zh_tones + num_ja_tones,
|
||||
'KR': num_zh_tones + num_ja_tones + num_en_tones,
|
||||
"ES": num_zh_tones + num_ja_tones + num_en_tones + num_kr_tones,
|
||||
"SP": num_zh_tones + num_ja_tones + num_en_tones + num_kr_tones,
|
||||
"FR": num_zh_tones + num_ja_tones + num_en_tones + num_kr_tones + num_es_tones,
|
||||
"DE": num_zh_tones + num_ja_tones + num_en_tones + num_kr_tones + num_es_tones + num_fr_tones,
|
||||
"RU": num_zh_tones + num_ja_tones + num_en_tones + num_kr_tones + num_es_tones + num_fr_tones + num_de_tones,
|
||||
"VI": num_zh_tones + num_ja_tones + num_en_tones + num_kr_tones + num_es_tones + num_fr_tones + num_de_tones + num_ru_tones,
|
||||
}
|
||||
|
||||
if __name__ == "__main__":
|
||||
a = set(zh_symbols)
|
||||
b = set(en_symbols)
|
||||
print(sorted(a & b))
|
||||
Reference in New Issue
Block a user