import torch

language = 'ru'
model_id = 'v4_ru'
device = torch.device('cpu')
#torch.set_num_threads(4)

model, example_text = torch.hub.load(repo_or_dir='snakers4/silero-models',
                                     model='silero_tts',
                                     language=language,
                                     speaker=model_id)
model.to(device)  # gpu or cpu
sample_rate = 48000
speaker = 'xenia'
audio_path= 't.wav'
example_text = 'В недрах тундры выдры в г+етрах т+ырят в вёдра ядра к+едров?'

##audio = model.apply_tts(text=example_text,
##                        speaker=speaker,
##                        sample_rate=sample_rate,
##                        put_accent=put_accent,
##                        put_yo=put_yo)
print(example_text)
###display(Audio(audio, rate=sample_rate))
##audio_paths = model.save_wav(text=example_text,
##                             speaker=speaker,
##                             sample_rate=sample_rate)
#print(audio_paths)
model.save_wav(text=example_text,
               ssml_text=None,
               speaker=speaker,
               audio_path= audio_path,
               sample_rate = 48000,
               put_accent=True,
               put_yo=True)

device = torch.device('cpu') #cpu 0:00:00.004999

model, example_text = torch.hub.load(repo_or_dir='snakers4/silero-models',
                                     model='silero_tts',
                                     language=language,
                                     speaker=model_id)

#model.to(device)  # gpu or cpu
sample_rate = 48000
speaker = 'baya' #xenia

def job(file,model):    
    start = datetime.now()
    model.to(device)
    with open (file) as f:
        text=f.read()
    a=file.split('\\')[1].split('.')[0]    
    
    print(datetime.now()- start)
    model.save_wav(text=text,
               ssml_text=None,
               speaker=speaker,
               audio_path= f'{a}.wav',
               sample_rate = 48000,
               put_accent=True,
               put_yo=True)

for f in glob(r'./*.txt'):
    job(f,model)

1
Слишком рано для зрелых выводов, но эта планета мне кажется старой
0:00:00.014001
2
заслуга имеет геологический анализ
0:00:00.017996

model, example_text = torch.hub.load(repo_or_dir='snakers4/silero-models',
                                     model='silero_tts',
                                     language=language,
                                     speaker=model_id)