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create_speaker_dictionaries.py
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create_speaker_dictionaries.py
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import collections
import os
import sys
import subprocess
import yaml
if sys.platform == 'win32':
training_root = r'D:/Data/speech/model_training_corpora'
dictionary_dir = r'C:/Users/michael/Documents/Dev/mfa-models/dictionary/training'
else:
training_root = r'/mnt/d/Data/speech/model_training_corpora'
dictionary_dir = r'/mnt/c/Users/michael/Documents/Dev/mfa-models/dictionary/training'
languages = ['bulgarian', 'english', 'french', 'german', 'portuguese', 'polish', 'turkish',
'croatian', 'swedish', 'korean', 'thai', 'mandarin', 'tamil',
'czech', 'japanese', 'vietnamese', 'ukrainian', 'swahili', 'spanish',
'russian', 'hausa']
languages = ['mandarin']
dialect_dictionary_mapping = {
'Northern Vietnam': os.path.join(dictionary_dir, 'vietnamese_hanoi_mfa.dict'),
'Southern Vietnam': os.path.join(dictionary_dir, 'vietnamese_ho_chi_minh_city_mfa.dict'),
'Castellano': os.path.join(dictionary_dir, 'spanish_spain_mfa.dict'),
'Beijing': os.path.join(dictionary_dir, 'mandarin_china_mfa.dict'),
}
default_language_dictionary_mapping = {
'bulgarian': os.path.join(dictionary_dir, 'bulgarian_mfa.dict'),
'croatian': os.path.join(dictionary_dir, 'croatian_mfa.dict'),
'czech': os.path.join(dictionary_dir, 'czech_mfa.dict'),
'french': os.path.join(dictionary_dir, 'french_mfa.dict'),
'english': os.path.join(dictionary_dir, 'english_mfa.dict'),
'german': os.path.join(dictionary_dir, 'german_mfa.dict'),
'hausa': os.path.join(dictionary_dir, 'hausa_mfa.dict'),
'japanese': os.path.join(dictionary_dir, 'japanese_mfa.dict'),
'korean': os.path.join(dictionary_dir, 'korean_hangul_mfa.dict'),
'mandarin': os.path.join(dictionary_dir, 'mandarin_china_mfa.dict'),
'polish': os.path.join(dictionary_dir, 'polish_mfa.dict'),
'portuguese': os.path.join(dictionary_dir, 'portuguese_portugal_mfa.dict'),
'russian': os.path.join(dictionary_dir, 'russian_mfa.dict'),
'spanish': os.path.join(dictionary_dir, 'spanish_spain_mfa.dict'),
'swahili': os.path.join(dictionary_dir, 'swahili_mfa.dict'),
'swedish': os.path.join(dictionary_dir, 'swedish_mfa.dict'),
'tamil': os.path.join(dictionary_dir, 'tamil_mfa.dict'),
'thai': os.path.join(dictionary_dir, 'thai_mfa.dict'),
'turkish': os.path.join(dictionary_dir, 'turkish_mfa.dict'),
'ukrainian': os.path.join(dictionary_dir, 'ukrainian_mfa.dict'),
'vietnamese': os.path.join(dictionary_dir, 'vietnamese_hue_mfa.dict'),
'hindi-urdu': os.path.join(dictionary_dir, 'hindi_mfa.dict'),
#'Wu': os.path.join(dictionary_dir, 'wu_mfa.dict'),
}
combined_languages = {
'vietnamese': ['vietnamese_hue_mfa.dict',
'vietnamese_hanoi_mfa.dict',
'vietnamese_ho_chi_minh_city_mfa.dict'],
'portuguese': ['portuguese_brazil_mfa.dict', 'portuguese_portugal_mfa.dict'],
'spanish': ['spanish_latin_america_mfa.dict', 'spanish_spain_mfa.dict'],
'english': ['english_us_mfa.dict', 'english_uk_mfa.dict', 'english_nigeria_mfa.dict', 'english_india_mfa.dict'],
'hindi-urdu': ['hindi_mfa.dict', 'urdu_mfa.dict'],
}
default_corpus_dictionary_mapping ={
'globalphone_portuguese': os.path.join(dictionary_dir, 'portuguese_brazil_mfa.dict'),
'mtedx_pt': os.path.join(dictionary_dir, 'portuguese_portugal_mfa.dict'),
'globalphone_spanish': os.path.join(dictionary_dir, 'spanish_latin_america_mfa.dict'),
'm_ailabs_spanish': os.path.join(dictionary_dir, 'spanish_spain_mfa.dict'),
'google_venezuela': os.path.join(dictionary_dir, 'spanish_latin_america_mfa.dict'),
'google_puerto_rico': os.path.join(dictionary_dir, 'spanish_latin_america_mfa.dict'),
'google_peru': os.path.join(dictionary_dir, 'spanish_latin_america_mfa.dict'),
'google_chile': os.path.join(dictionary_dir, 'spanish_latin_america_mfa.dict'),
'google_columbia': os.path.join(dictionary_dir, 'spanish_latin_america_mfa.dict'),
'common_voice_mandarin_taiwan': os.path.join(dictionary_dir, 'mandarin_taiwan_mfa.dict'),
'common_voice_mandarin_china': os.path.join(dictionary_dir, 'mandarin_china_mfa.dict'),
'coraal': os.path.join(dictionary_dir, 'english_us_mfa.dict'),
'librispeech_english': os.path.join(dictionary_dir, 'english_us_mfa.dict'),
'google_nigeria': os.path.join(dictionary_dir, 'english_nigeria_mfa.dict'),
'ICE_Nigeria': os.path.join(dictionary_dir, 'english_nigeria_mfa.dict'),
'Pakistani_English_Scripted': os.path.join(dictionary_dir, 'english_india_mfa.dict'),
'google_uk_ireland': os.path.join(dictionary_dir, 'english_uk_mfa.dict'),
'aru_english': os.path.join(dictionary_dir, 'english_uk_mfa.dict'),
'nchlt_english': os.path.join(dictionary_dir, 'english_uk_mfa.dict'),
'vivos': os.path.join(dictionary_dir, 'vietnamese_ho_chi_minh_city_mfa.dict'),
'aidatatang': os.path.join(dictionary_dir, 'mandarin_china_mfa.dict'),
'aishell': os.path.join(dictionary_dir, 'mandarin_china_mfa.dict'),
'thchs30': os.path.join(dictionary_dir, 'mandarin_china_mfa.dict'),
'common_voice_hindi': os.path.join(dictionary_dir, 'hindi_mfa.dict'),
'musc2021_cs_hindi': os.path.join(dictionary_dir, 'hindi_mfa.dict'),
'musc2021_hindi': os.path.join(dictionary_dir, 'hindi_mfa.dict'),
'common_voice_urdu': os.path.join(dictionary_dir, 'urdu_mfa.dict'),
}
language_dialect_detection = {
'spanish': (['España'], os.path.join(dictionary_dir, 'spanish_spain_mfa.dict'),
os.path.join(dictionary_dir, 'spanish_latin_america_mfa.dict')),
'portuguese': (['Portugal'], os.path.join(dictionary_dir, 'portuguese_portugal_mfa.dict'),
os.path.join(dictionary_dir, 'portuguese_brazil_mfa.dict')),
'english': (['United States'], os.path.join(dictionary_dir, 'english_us_mfa.dict'),
os.path.join(dictionary_dir, 'english_uk_mfa.dict')),
}
def load_speaker_tsv(path):
speaker_data = {}
with open(path, 'r', encoding='utf8') as f:
for line in f:
line = line.strip()
if not line:
continue
line = line.split('\t')
speaker = line[0]
dialect = line[3]
if dialect == 'Porto':
dialect = 'Portugal'
elif dialect == 'Mother tounge':
dialect = ''
speaker_data[speaker] = dialect
return speaker_data
def combine_dictionaries(lang, out_path):
line_set = set()
with open(out_path, 'w', encoding='utf8') as outf:
for dict_name in combined_languages[lang]:
with open(os.path.join(dictionary_dir, dict_name), 'r', encoding='utf8') as f:
for line in f:
if line not in line_set:
outf.write(line)
line_set.add(line)
if __name__ == '__main__':
for lang in languages:
if lang == 'japanese':
continue
print(lang)
language_root = os.path.join(training_root, lang)
default_dictionary_path = default_language_dictionary_mapping[lang]
if lang in combined_languages:
combine_dictionaries(lang, default_dictionary_path)
speaker_dictionary_mapping = {}
temporary_directory = os.path.join(language_root, 'validation_temp')
for corpus in os.listdir(language_root):
if corpus.endswith('_temp'):
continue
corpus_dir = os.path.join(language_root, corpus)
if not os.path.isdir(corpus_dir):
continue
if not os.listdir(corpus_dir):
continue
print(corpus)
corpus_default_dict = default_corpus_dictionary_mapping.get(corpus, default_dictionary_path)
load_from_scratch = True
yaml_file = os.path.join(corpus_dir, f'{lang}_speaker_dictionaries.yaml')
speaker_info_path = os.path.join(corpus_dir, 'speaker_info.tsv')
if os.path.exists(speaker_info_path):
dialect_data = load_speaker_tsv(speaker_info_path)
if lang in combined_languages:
for speaker, v in dialect_data.items():
#if not v:
# continue
if lang in language_dialect_detection:
key, dict_path, other_dict_path = language_dialect_detection[lang]
if any(k in v for k in key):
speaker_dictionary_mapping[speaker] = dict_path
elif other_dict_path:
speaker_dictionary_mapping[speaker] = other_dict_path
else:
speaker_dictionary_mapping[speaker] = corpus_default_dict
else:
speaker_dictionary_mapping[speaker] = corpus_default_dict
else:
for speaker in dialect_data.keys():
speaker_dictionary_mapping[speaker] = corpus_default_dict
load_from_scratch = False
elif os.path.exists(yaml_file):
with open(yaml_file, 'r', encoding='utf8') as f:
d = yaml.safe_load(f)
for k, v in d.items():
v = v.replace('_ipa', '_mfa').replace('_castilian','_spain')
if v != corpus_default_dict:
if os.path.basename(v) == os.path.basename(default_dictionary_path):
v = default_dictionary_path
else:
v = os.path.join(dictionary_dir, os.path.basename(v))
speaker_dictionary_mapping[k] = v
load_from_scratch = False
if load_from_scratch:
from montreal_forced_aligner.corpus.acoustic_corpus import AcousticCorpus
from montreal_forced_aligner.db import Speaker
corpus = AcousticCorpus(corpus_directory=corpus_dir)
corpus._load_corpus()
corpus_speaker_dicts = {}
with corpus.session() as session:
speakers = session.query(Speaker.name)
for speaker, in speakers:
speaker_dictionary_mapping[speaker] = corpus_default_dict
corpus_speaker_dicts[speaker] = corpus_default_dict
with open(yaml_file, 'w', encoding='utf8') as f:
yaml.safe_dump(corpus_speaker_dicts, f)
speaker_dictionary_mapping = {k: v for k, v in speaker_dictionary_mapping.items() if v != default_dictionary_path}
speaker_dictionary_mapping['default'] = default_dictionary_path
with open(os.path.join(language_root, f'{lang}_speaker_dictionaries.yaml'), 'w', encoding='utf8') as f:
yaml.safe_dump(speaker_dictionary_mapping, f)
c = collections.Counter(os.path.basename(x) for x in speaker_dictionary_mapping.values())