An empirical study of Conv-TasNet

20 Feb 2020Berkan KadiogluMichael HorganXiaoyu LiuJordi PonsDan DarcyVivek Kumar

Conv-TasNet is a recently proposed waveform-based deep neural network that achieves state-of-the-art performance in speech source separation. Its architecture consists of a learnable encoder/decoder and a separator that operates on top of this learned space... (read more)

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