7 papers · 1 filter
Meta-Learning for Adaptive Filters with Higher-Order Frequency Dependencies
Junkai Wu, Jonah Casebeer, Nicholas J. Bryan +1
Adaptive filters are applicable to many signal processing tasks including acoustic echo cancellation, beamforming, and more. Adaptive filters are typically controlled using algorit…
Auto-DSP: Learning to Optimize Acoustic Echo Cancellers
Jonah Casebeer, Nicholas J. Bryan, Paris Smaragdis
Adaptive filtering algorithms are commonplace in signal processing and have wide-ranging applications from single-channel denoising to multi-channel acoustic echo cancellation and…
Sound Event Detection with Adaptive Frequency Selection
Zhepei Wang, Jonah Casebeer, Adam Clemmitt +2
In this work, we present HIDACT, a novel network architecture for adaptive computation for efficiently recognizing acoustic events. We evaluate the model on a sound event detection…
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…
Deep Tensor Factorization for Spatially-Aware Scene Decomposition
Jonah Casebeer, Michael Colomb, Paris Smaragdis
We propose a completely unsupervised method to understand audio scenes observed with random microphone arrangements by decomposing the scene into its constituent sources and their…
Multi-View Networks For Multi-Channel Audio Classification
Jonah Casebeer, Zhepei Wang, Paris Smaragdis
In this paper we introduce the idea of multi-view networks for sound classification with multiple sensors. We show how one can build a multi-channel sound recognition model trained…