dual-path-RNNs-DPRNNs-based-speech-separation
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class DPRNN_base in models.py
Hello, thanks for sharing useful code. I want to implement "DUAL-PATH RNN: EFFICIENT LONG SEQUENCE MODELING FOR TIME-DOMAIN SINGLE-CHANNEL SPEECH SEPARATION" paper. So I decided to use DPRNN_base model instead of FaSNet_base that you have used in train.py. How to define the method def forward(self, input) in DPRNN_base ? What are the outputs of DPRNN_base model ?