Develop fastspeech pipeline #4479
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supotato6
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zxcd
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Aug 26, 2025
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| 在上述 Python 脚本中，执行了如下几个步骤： | ||
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| （1）通过 `create_pipeline()` 实例化 text_to_speech 产线对象：具体参数说明如下： |
zxcd
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Aug 26, 2025
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| # Copyright (c) 2024 PaddlePaddle Authors. All Rights Reserved. | |||
| **kwargs: Additional keyword arguments that can be passed to the function. | ||
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| Returns: | ||
| WhisperResult: The predicted whisper results, support str and json output. |
TingquanGao
reviewed
Oct 20, 2025
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| if type(input) == str: | ||
| if input.endswith("txt"): | ||
| if os.path.exists(input): | ||
| with open(input, "r", encoding="utf-8") as f: | ||
| sentences = f.readlines() | ||
| else: | ||
| sentences = [input] | ||
| elif type(input) == list: | ||
| sentences = input |
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对于以下两种情况是否需要考虑：
- input 为
[path1, path2, path3]; - input 为 path，但文件不存在，应报错处理。
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