479 citations · 1.5k across the 53 of their papers we have counts for
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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…
Unified Gradient Reweighting for Model Biasing with Applications to Source Separation
Efthymios Tzinis, Dimitrios Bralios, Paris Smaragdis
Recent deep learning approaches have shown great improvement in audio source separation tasks. However, the vast majority of such work is focused on improving average separation pe…
Optimizing Short-Time Fourier Transform Parameters via Gradient Descent
An Zhao, Krishna Subramani, Paris Smaragdis
The Short-Time Fourier Transform (STFT) has been a staple of signal processing, often being the first step for many audio tasks. A very familiar process when using the STFT is the…
Sudo rm -rf: Efficient Networks for Universal Audio Source Separation
Efthymios Tzinis, Zhepei Wang, Paris Smaragdis
In this paper, we present an efficient neural network for end-to-end general purpose audio source separation. Specifically, the backbone structure of this convolutional network is…
Self-supervised Learning for Speech Enhancement
Yu-Che Wang, Shrikant Venkataramani, Paris Smaragdis
Supervised learning for single-channel speech enhancement requires carefully labeled training examples where the noisy mixture is input into the network and the network is trained…