62 citations · 113 across the 2 of their papers we have counts for
2 papers
eess.AS2020★ 51 cited
Asteroid: the PyTorch-based audio source separation toolkit for researchers
Manuel Pariente, Samuele Cornell, Joris Cosentino +11
This paper describes Asteroid, the PyTorch-based audio source separation toolkit for researchers. Inspired by the most successful neural source separation systems, it provides all…
eess.AS2019★ 62 cited
A Multi-Phase Gammatone Filterbank for Speech Separation via TasNet
David Ditter, Timo Gerkmann
In this work, we investigate if the learned encoder of the end-to-end convolutional time domain audio separation network (Conv-TasNet) is the key to its recent success, or if the e…