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| import pickle | |
| import os | |
| import re | |
| from g2p_en import G2p | |
| from string import punctuation | |
| from text import symbols | |
| 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() | |
| 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 replace_phs(phs): | |
| rep_map = { | |
| ';': ',', | |
| ':': ',', | |
| '\'': '-', | |
| '"': '-' | |
| } | |
| phs_new = [] | |
| for ph in phs: | |
| if ph in symbols: | |
| phs_new.append(ph) | |
| elif ph in rep_map.keys(): | |
| phs_new.append(rep_map[ph]) | |
| else: | |
| print('ph not in symbols: ', ph) | |
| return phs_new | |
| 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 text_normalize(text): | |
| # todo: eng text normalize | |
| return text.replace(";", ",") | |
| def g2p(text): | |
| phones = [] | |
| words = re.split(r"([,;.\-\?\!\s+])", text) | |
| for w in words: | |
| if w.upper() in eng_dict: | |
| phns = eng_dict[w.upper()] | |
| for ph in phns: | |
| phones += ph | |
| else: | |
| phone_list = list(filter(lambda p: p != " ", _g2p(w))) | |
| for ph in phone_list: | |
| if ph in arpa: | |
| phones.append(ph) | |
| else: | |
| phones.append(ph) | |
| return replace_phs(phones) | |
| if __name__ == "__main__": | |
| # print(get_dict()) | |
| print(g2p("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) |