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使用CSMSC数据集训练了transformer声源模型,waveflow作为声码器进行语音合成
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使用CSMSC数据集训练了transformer声源模型,waveflow作为声码器进行语音合成
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感谢贡献,音频特征提取 (fs/n_fft/win_length/n_shift/fmin/fmax/n_mels/window)参数可以与https://github.com/PaddlePaddle/PaddleSpeech/blob/develop/examples/csmsc/tts3/conf/default.yaml 保持一致,这样就可以使用 csmsc 的声码器了,目前 waveflow 只有在 ljspeech 上的模型,并且不打算维护(速度慢,不流行)
麻烦签署一下 CLA 吧
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提交代码按照 https://github.com/PaddlePaddle/PaddleSpeech/issues/2325 用 pre-commit 刷一下代码格式,否则过不了 CodeStyle 这一条 CI
This pull request is now in conflict :(