Low Latency Two Stage Beamforming with Distributed Microphone Arrays Using a Planewave Decomposition

Manan Mittal, Ryan M. Corey, Yongjie Zhuang, Andrew C. Singer

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

Abstract

Many rooms are equipped with conferencing systems with a large number of microphones. However, these systems are often limited to a fixed number of delay-and-sum beamformers and typical automix software will pick the beamformer output with the most energy. A more constructive combination is possible if we have access to the output of multiple beams constructed by such commercial systems. This article proposes a beamspace projection that may effectively view such a commercial conferencing system as a low-latency dimensionality reduction operation. Such a projection can be formulated as a plane wave decomposition of the received signals. Experiments conducted in simulation show that beamspace projection can rapidly approach the SINR gain achievable with access to all the microphones with lower computational complexity. Finally, we use commercial hardware and its beamformer outputs to separate numerous talkers in a real world environment.

Original languageEnglish (US)
Title of host publication2024 18th International Workshop on Acoustic Signal Enhancement, IWAENC 2024 - Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages180-184
Number of pages5
ISBN (Electronic)9798350361858
DOIs
StatePublished - 2024
Externally publishedYes
Event18th International Workshop on Acoustic Signal Enhancement, IWAENC 2024 - Aalborg, Denmark
Duration: Sep 9 2024Sep 12 2024

Publication series

Name2024 18th International Workshop on Acoustic Signal Enhancement, IWAENC 2024 - Proceedings

Conference

Conference18th International Workshop on Acoustic Signal Enhancement, IWAENC 2024
Country/TerritoryDenmark
CityAalborg
Period9/9/249/12/24

Keywords

  • Beamforming
  • Microphone Arrays
  • Plane Wave Decomposition
  • Sensor Networks

ASJC Scopus subject areas

  • Signal Processing
  • Acoustics and Ultrasonics

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