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20182026
most citedSeparate but Together: Unsupervised Federated Learning for Speech Enhancement from Non-IID Data

14 citations · 29 across the 16 of their papers we have counts for

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Showing 2020Show all

2 papers · 1 filter

cs.SD2020

Communication-Cost Aware Microphone Selection For Neural Speech Enhancement with Ad-hoc Microphone Arrays

Jonah Casebeer, Jamshed Kaikaus, Paris Smaragdis

In this paper, we present a method for jointly-learning a microphone selection mechanism and a speech enhancement network for multi-channel speech enhancement with an ad-hoc microp…

eess.AS2020

Efficient Trainable Front-Ends for Neural Speech Enhancement

Jonah Casebeer, Umut Isik, Shrikant Venkataramani +1

Many neural speech enhancement and source separation systems operate in the time-frequency domain. Such models often benefit from making their Short-Time Fourier Transform (STFT) f…