  In this note, we propose to use TasTas \cite{shi2020speech} for the
end-to-end approach to monaural speech separation in the pre-cocktail party
problem. Our experiments on the public WSJ0-5mix data corpus results in 10.41dB
SDR improvement. If online voice data remixing augmentation
\cite{zeghidour2020wavesplit} is adopted in training, an 11.14dB SDR
improvement can be achieved. We have open-sourced our re-implementation of the
DPRNN-TasNet in
https://github.com/ShiZiqiang/dual-path-RNNs-DPRNNs-based-speech-separation,
and our TasTas is realized based on this implementation of DPRNN-TasNet, it is
believed that the results in this paper can be reproduced with ease.
