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| import os | |
| #os.system('git clone https://github.com/Open-Speech-EkStep/vakyansh-tts') | |
| os.chdir('vakyansh_tts') | |
| os.system('bash install.sh') | |
| os.system('python setup.py bdist_wheel') | |
| os.system('pip install -e .') | |
| os.chdir('tts_infer') | |
| os.system('mkdir translit_models') | |
| os.chdir('translit_models') | |
| os.system('wget -q https://storage.googleapis.com/vakyaansh-open-models/translit_models/default_lineup.json') | |
| os.system('mkdir hindi') | |
| os.chdir('hindi') | |
| os.system('wget -q https://storage.googleapis.com/vakyaansh-open-models/translit_models/hindi/hindi_transliteration.zip') | |
| os.system('unzip hindi_transliteration') | |
| os.system('wget -q https://storage.googleapis.com/vakyansh-open-models/tts/hindi/hi-IN/female_voice_0/glow.zip') | |
| os.system('unzip glow.zip') | |
| os.system('wget -q https://storage.googleapis.com/vakyansh-open-models/tts/hindi/hi-IN/female_voice_0/hifi.zip') | |
| os.system('unzip hifi.zip') | |
| os.system('pwd') | |
| os.system('rm glow.zip') | |
| os.system('rm hifi.zip') | |
| os.chdir('/home/user/app/') | |
| os.system('pwd') | |
| from vakyansh_tts.tts_infer.tts import TextToMel, MelToWav | |
| from vakyansh_tts.tts_infer.transliterate import XlitEngine | |
| from vakyansh_tts.tts_infer.num_to_word_on_sent import normalize_nums | |
| import re | |
| from scipy.io.wavfile import write | |
| device = 'cpu' | |
| text_to_mel = TextToMel(glow_model_dir='/home/user/app/vakyansh-tts/tts_infer/translit_models/hindi/glow_ckp', device=device) | |
| mel_to_wav = MelToWav(hifi_model_dir='/home/user/app/vakyansh-tts/tts_infer/translit_models/hindi/hifi_ckp', device=device) | |
| def translit(text, lang): | |
| reg = re.compile(r'[a-zA-Z]') | |
| engine = XlitEngine(lang) | |
| words = [engine.translit_word(word, topk=1)[lang][0] if reg.match(word) else word for word in text.split()] | |
| updated_sent = ' '.join(words) | |
| return updated_sent | |
| def run_tts(text, lang): | |
| text = text.replace('।', '.') # only for hindi models | |
| text_num_to_word = normalize_nums(text, lang) # converting numbers to words in lang | |
| text_num_to_word_and_transliterated = translit(text_num_to_word, lang) # transliterating english words to lang | |
| mel = text_to_mel.generate_mel(text_num_to_word_and_transliterated) | |
| audio, sr = mel_to_wav.generate_wav(mel) | |
| write(filename='temp.wav', rate=sr, data=audio) # for saving wav file, if needed | |
| return (sr, audio) | |
| _, audio = run_tts('hello my name is harveen', 'hi') |