forked from mrq/tortoise-tts
28 lines
1.0 KiB
Python
28 lines
1.0 KiB
Python
import argparse
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import os
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import torchaudio
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from api import TextToSpeech
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from tortoise.utils.audio import load_audio
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if __name__ == '__main__':
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parser = argparse.ArgumentParser()
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parser.add_argument('--eval_path', type=str, help='Path to TSV test file', default="D:\\tmp\\tortoise-tts-eval\\test.tsv")
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parser.add_argument('--output_path', type=str, help='Where to put results', default="D:\\tmp\\tortoise-tts-eval\\baseline")
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parser.add_argument('--preset', type=str, help='Rendering preset.', default="standard")
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args = parser.parse_args()
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os.makedirs(args.output_path, exist_ok=True)
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tts = TextToSpeech()
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with open(args.eval_path, 'r', encoding='utf-8') as f:
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lines = f.readlines()
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for line in lines:
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text, real = line.strip().split('\t')
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conds = [load_audio(real, 22050)]
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gen = tts.tts_with_preset(text, voice_samples=conds, conditioning_latents=None, preset=args.preset)
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torchaudio.save(os.path.join(args.output_path, os.path.basename(real)), gen.squeeze(0).cpu(), 24000)
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