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speech enhancement\speech seperation\sound source localization
A PyTorch implementation of DNN-based source separation.
Just work following papers.
这是我学习 PyTorch 的笔记对应的代码,点击查看 PyTorch 笔记在线电子书
target speaker extraction and verification for multi-talker speech
multi-scale time domain speaker extraction
Extract the target speaker
SpEx+(tied) source code
We provide a PyTorch implementation of the paper Voice Separation with an Unknown Number of Multiple Speakers In which, we present a new method for separating a mixed audio sequence, in which multiple voices speak simultaneously. The new method employs gated neural networks that are trained to separate the voices at multiple processing steps, while maintaining the speaker in each output channel fixed. A different model is trained for every number of possible speakers, and the model with the largest number of speakers is employed to select the actual number of speakers in a given sample. Our method greatly outperforms the current state of the art, which, as we show, is not competitive for more than two speakers.
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