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Reverberation as Supervision for Speech Separation. (arXiv:2211.08303v1 [eess.AS])
Nov. 16, 2022, 2:13 a.m. | Rohith Aralikatti, Christoph Boeddeker, Gordon Wichern, Aswin Shanmugam Subramanian, Jonathan Le Roux
stat.ML updates on arXiv.org arxiv.org
This paper proposes reverberation as supervision (RAS), a novel unsupervised
loss function for single-channel reverberant speech separation. Prior methods
for unsupervised separation required the synthesis of mixtures of mixtures or
assumed the existence of a teacher model, making them difficult to consider as
potential methods explaining the emergence of separation abilities in an
animal's auditory system. We assume the availability of two-channel mixtures at
training time, and train a neural network to separate the sources given one of
the channels …
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