Binaural signal matching with arbitrary array based on a sound field model

Shai Hermon; Vladimir Tourbabin; Zamir Ben-Hur; Jacob Donley; Boaz Rafaely

Binaural signal matching with arbitrary array based on a sound field model

Shai Hermon, Vladimir Tourbabin, Zamir Ben-Hur, Jacob Donley, Boaz Rafaely

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

1 Scopus citations

Abstract

The capture and reproduction of spatial audio is becoming increasingly important with the mushrooming of applications in teleconferencing, entertainment, and virtual reality. Two popular methods include High Order Ambisonics (HOA) and beamforming-based binaural reproduction (BFBR), which are mainly studied with spherical arrays. Recently, binaural signal matching (BSM) has been proposed for binaural reproduction with arbitrary arrays. This paper investigates improvement of the method, which is based on a model of the sound field separated into direct and reverberant parts. A simulation study shows that the proposed method improved the performance of the BSM algorithm for some tested acoustic scenarios without the need for additional information about the sound field.

Original language	English
Title of host publication	AES International Conference on Audio for Virtual and Augmented Reality, AVAR 2022
Publisher	Audio Engineering Society
Pages	280-286
Number of pages	7
ISBN (Electronic)	9781713859727
State	Published - 1 Jan 2022
Event	2022 AES International Conference on Audio for Virtual and Augmented Reality, AVAR 2022 - Redmond, United States Duration: 15 Aug 2022 → 17 Aug 2022

Publication series

Name	Proceedings of the AES International Conference
Volume	2022-August

Conference

Conference	2022 AES International Conference on Audio for Virtual and Augmented Reality, AVAR 2022
Country/Territory	United States
City	Redmond
Period	15/08/22 → 17/08/22

ASJC Scopus subject areas

Electrical and Electronic Engineering
Acoustics and Ultrasonics

Cite this

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title = "Binaural signal matching with arbitrary array based on a sound field model",

abstract = "The capture and reproduction of spatial audio is becoming increasingly important with the mushrooming of applications in teleconferencing, entertainment, and virtual reality. Two popular methods include High Order Ambisonics (HOA) and beamforming-based binaural reproduction (BFBR), which are mainly studied with spherical arrays. Recently, binaural signal matching (BSM) has been proposed for binaural reproduction with arbitrary arrays. This paper investigates improvement of the method, which is based on a model of the sound field separated into direct and reverberant parts. A simulation study shows that the proposed method improved the performance of the BSM algorithm for some tested acoustic scenarios without the need for additional information about the sound field.",

author = "Shai Hermon and Vladimir Tourbabin and Zamir Ben-Hur and Jacob Donley and Boaz Rafaely",

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Hermon, S, Tourbabin, V, Ben-Hur, Z, Donley, J & Rafaely, B 2022, Binaural signal matching with arbitrary array based on a sound field model. in AES International Conference on Audio for Virtual and Augmented Reality, AVAR 2022. Proceedings of the AES International Conference, vol. 2022-August, Audio Engineering Society, pp. 280-286, 2022 AES International Conference on Audio for Virtual and Augmented Reality, AVAR 2022, Redmond, United States, 15/08/22.

Binaural signal matching with arbitrary array based on a sound field model. / Hermon, Shai; Tourbabin, Vladimir; Ben-Hur, Zamir et al.
AES International Conference on Audio for Virtual and Augmented Reality, AVAR 2022. Audio Engineering Society, 2022. p. 280-286 (Proceedings of the AES International Conference; Vol. 2022-August).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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T1 - Binaural signal matching with arbitrary array based on a sound field model

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AB - The capture and reproduction of spatial audio is becoming increasingly important with the mushrooming of applications in teleconferencing, entertainment, and virtual reality. Two popular methods include High Order Ambisonics (HOA) and beamforming-based binaural reproduction (BFBR), which are mainly studied with spherical arrays. Recently, binaural signal matching (BSM) has been proposed for binaural reproduction with arbitrary arrays. This paper investigates improvement of the method, which is based on a model of the sound field separated into direct and reverberant parts. A simulation study shows that the proposed method improved the performance of the BSM algorithm for some tested acoustic scenarios without the need for additional information about the sound field.

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M3 - Conference contribution

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ER -

Binaural signal matching with arbitrary array based on a sound field model

Abstract

Publication series

Conference

ASJC Scopus subject areas

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