Robust Bayesian and Maximum a Posteriori Beamforming for Hearing Assistive Devices

Poul Hoang, Zheng-Hua Tan, Jan Mark de Haan, Thomas Lunner, Jesper Jensen

Publikation: Bidrag til bog/antologi/rapport/konference proceedingKonferenceartikel i proceedingForskningpeer review

4 Citationer (Scopus)

Abstract

Multi-microphone speech enhancement systems often apply beamforming to enhance one or multiple desired signals in a noisy environment. Common for many beamforming methods, is that they require the direction-of-arrival (DOA) of the target sound source to be known in order to achieve optimal noise reduction performance. To improve robustness against DOA uncertainty, we propose maximum a posteriori (MAP) and Bayesian beamformers that are able to take advantage of prior information on the target direction. We compare the proposed MAP and Bayesian beamformers to state-of-the-art beamforming methods for noise reduction in hearing assistive devices. We evaluate the proposed beamformers in isotropic babble noise in terms of segmental SNR (SSNR) and extended short-time objective intelligibility (ESTOI). Results show that the proposed methods outperform current state-of-the-art beamformers used for noise reduction in hearing aids in most scenarios.
OriginalsprogEngelsk
TitelIEEE Global Conference on Signal and Information Processing (GlobalSIP)
Antal sider5
ForlagIEEE (Institute of Electrical and Electronics Engineers)
Publikationsdato27 jan. 2020
Artikelnummer8969234
ISBN (Trykt)978-1-7281-2724-8
ISBN (Elektronisk)978-1-7281-2723-1
DOI
StatusUdgivet - 27 jan. 2020
Begivenhed2019 IEEE Global Conference on Signal and Information Processing (GlobalSIP) - Ottawa, Canada
Varighed: 11 nov. 201914 nov. 2019

Konference

Konference2019 IEEE Global Conference on Signal and Information Processing (GlobalSIP)
Land/OmrådeCanada
ByOttawa
Periode11/11/201914/11/2019
NavnIEEE Global Conference on Signal and Information Processing (GlobalSIP). Proceedings

Emneord

  • Beamforming
  • Noise Reduction
  • Hearing Aids
  • Bayesian Beamforming
  • Maximum a posterior beamforming

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