Auto-DSP: Learning to Optimize Acoustic Echo Cancellers

Jonah Casebeer, Nicholas J. Bryan, Paris Smaragdis

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Adaptive filtering algorithms are commonplace in signal processing and have wide-ranging applications from single-channel denoising to multi -channel acoustic echo cancellation and adaptive beamforming. Such algorithms typically operate via specialized online, iterative optimization methods and have achieved tremendous success, but require expert knowledge, are slow to develop, and are difficult to customize. In our work, we present a new method to automatically learn adaptive filtering update rules directly from data. To do so, we frame adaptive filtering as a differentiable operator and train a learned optimizer to output a gradient descent-based update rule from data via backpropagation through time. We demonstrate our general approach on an acoustic echo cancellation task (single-talk with noise) and show that we can learn high-performing adaptive filters for a variety of common linear and non-linear mul-tidelayed block frequency domain filter architectures. We also find that our learned update rules exhibit fast convergence, can optimize in the presence of nonlinearities, and are robust to acoustic scene changes despite never encountering any during training.

Original languageEnglish (US)
Title of host publication2021 IEEE Workshop on Applications of Signal Processing to Audio and Acoustics, WASPAA 2021
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages291-295
Number of pages5
ISBN (Electronic)9781665448703
DOIs
StatePublished - 2021
Event2021 IEEE Workshop on Applications of Signal Processing to Audio and Acoustics, WASPAA 2021 - New Paltz, United States
Duration: Oct 17 2021Oct 20 2021

Publication series

NameIEEE Workshop on Applications of Signal Processing to Audio and Acoustics
Volume2021-October
ISSN (Print)1931-1168
ISSN (Electronic)1947-1629

Conference

Conference2021 IEEE Workshop on Applications of Signal Processing to Audio and Acoustics, WASPAA 2021
Country/TerritoryUnited States
CityNew Paltz
Period10/17/2110/20/21

Keywords

  • acoustic echo cancellation
  • adaptive filtering
  • adaptive optimization
  • learning to learn
  • meta-learning

ASJC Scopus subject areas

  • Electrical and Electronic Engineering
  • Computer Science Applications

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