Abstract

Microphone arrays are usually assumed to have rigid geometries: the microphones may move with respect to the sound field but remain fixed relative to each other. However, many useful arrays, such as those in wearable devices, have sensors that can move relative to each other. We compare two approaches to beamforming with deformable microphone arrays: first, by explicitly tracking the geometry of the array as it changes over time, and second, by designing a time-invariant beamformer based on the second-order statistics of the moving array. The time-invariant approach is shown to be appropriate when the motion of the array is small relative to the acoustic wavelengths of interest. The performance of the proposed beamforming system is demonstrated using a wearable microphone array on a moving human listener in a cocktail-party scenario.

Original languageEnglish (US)
Title of host publication2019 IEEE Workshop on Applications of Signal Processing to Audio and Acoustics, WASPAA 2019
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages115-119
Number of pages5
ISBN (Electronic)9781728111230
DOIs
StatePublished - Oct 2019
Event2019 IEEE Workshop on Applications of Signal Processing to Audio and Acoustics, WASPAA 2019 - New Paltz, United States
Duration: Oct 20 2019Oct 23 2019

Publication series

NameIEEE Workshop on Applications of Signal Processing to Audio and Acoustics
Volume2019-October
ISSN (Print)1931-1168
ISSN (Electronic)1947-1629

Conference

Conference2019 IEEE Workshop on Applications of Signal Processing to Audio and Acoustics, WASPAA 2019
CountryUnited States
CityNew Paltz
Period10/20/1910/23/19

Keywords

  • Microphone arrays
  • array processing
  • audio enhancement
  • hearing aids
  • wearables

ASJC Scopus subject areas

  • Electrical and Electronic Engineering
  • Computer Science Applications

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