Fig. 1From: Time-domain adaptive attention network for single-channel speech separationBlock diagram of deep learning based speech separation. Firstly, the encoder converts the speech signal into a feature representation, and then the feature separation and mask estimation are performed by the separator. Finally, the separated speech waveforms are reconstructed by the decoderBack to article page