Performance Analysis Of Binaural Signal Matching (BSM) in the Time-Frequency Domain

Ami Berger, Vladimir Tourbabin, Jacob Donley, Zamir Ben-Hur, Boaz Rafaely

Research output: Contribution to journalConference articlepeer-review

Abstract

The capture and reproduction of spatial audio is becoming increasingly popular, with the mushrooming of applications in teleconferencing, entertainment and virtual reality. Many binaural reproduction methods have been developed and studied extensively for spherical and other specially designed arrays. However, the recent increased popularity of wearable and mobile arrays requires the development of binaural reproduction methods for these arrays. One such method is binaural signal matching (BSM). However, to date this method has only been investigated with fixed matched filters designed for long audio recordings. With the aim of making the BSM method more adaptive to dynamic environments, this paper analyzes BSM with a parameterized sound-field in the time-frequency domain. The paper presents results of implementing the BSM method on a sound-field that was decomposed into its direct and reverberant components, and compares this implementation with the BSM computed for the entire sound-field,, to compare performance for binaural reproduction of reverberant speech in a simulated environment.

Original languageEnglish
JournalProceedings of the International Congress on Acoustics
StatePublished - 1 Jan 2022
Event24th International Congress on Acoustics, ICA 2022 - Gyeongju, Korea, Republic of
Duration: 24 Oct 202228 Oct 2022

Keywords

  • BSM
  • Binaural reproduction
  • Dynamic-arrays
  • Head tracking

ASJC Scopus subject areas

  • Mechanical Engineering
  • Acoustics and Ultrasonics

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