Maximum likelihood approach to “informed” Sound Source Localization for Hearing Aid applications

Mojtaba Farmani, Michael Syskind Pedersen, Zheng-Hua Tan, Jesper Jensen

Publikation: Bidrag til tidsskriftKonferenceartikel i tidsskriftForskningpeer review

9 Citationer (Scopus)

Resumé

Most state-of-the-art Sound Source Localization (SSL) algorithms have been proposed for applications which are "uninformed'' about the target sound content; however, utilizing a wireless microphone worn by a target talker, enables recent Hearing Aid Systems (HASs) to access to an almost noise-free sound signal of the target talker at the HAS via the wireless connection. Therefore, in this paper, we propose a maximum likelihood (ML) approach, which we call MLSSL, to estimate the Direction of Arrival (DoA) of the target signal given access to the target signal content. Compared with other "informed'' SSL algorithms which use binaural microphones for localization, MLSSL performs better using signals of one or more microphones placed on just one ear, thereby reducing the wireless transmission overhead of binaural hearing aids. More specifically, when the target location confined to the front-horizontal plane, MLSSL shows an average absolute DoA estimation error of 5 degrees at SNR of -5dB in a large-crowd noise and non-reverberant situation. Moreover, MLSSL suffers less from front-back confusions compared with the recent approaches.
OriginalsprogEngelsk
TidsskriftI E E E International Conference on Acoustics, Speech and Signal Processing. Proceedings
Sider (fra-til)16-20
ISSN1520-6149
DOI
StatusUdgivet - apr. 2015
Begivenhed40th IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) 2015 - Brisbane, Australien
Varighed: 19 apr. 201524 apr. 2015
Konferencens nummer: 2015

Konference

Konference40th IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) 2015
Nummer2015
LandAustralien
ByBrisbane
Periode19/04/201524/04/2015

Fingerprint

Hearing aids
Maximum likelihood
Microphones
Acoustic waves
Direction of arrival
Acoustic noise
Error analysis

Citer dette

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title = "Maximum likelihood approach to “informed” Sound Source Localization for Hearing Aid applications",
abstract = "Most state-of-the-art Sound Source Localization (SSL) algorithms have been proposed for applications which are {"}uninformed'' about the target sound content; however, utilizing a wireless microphone worn by a target talker, enables recent Hearing Aid Systems (HASs) to access to an almost noise-free sound signal of the target talker at the HAS via the wireless connection. Therefore, in this paper, we propose a maximum likelihood (ML) approach, which we call MLSSL, to estimate the Direction of Arrival (DoA) of the target signal given access to the target signal content. Compared with other {"}informed'' SSL algorithms which use binaural microphones for localization, MLSSL performs better using signals of one or more microphones placed on just one ear, thereby reducing the wireless transmission overhead of binaural hearing aids. More specifically, when the target location confined to the front-horizontal plane, MLSSL shows an average absolute DoA estimation error of 5 degrees at SNR of -5dB in a large-crowd noise and non-reverberant situation. Moreover, MLSSL suffers less from front-back confusions compared with the recent approaches.",
author = "Mojtaba Farmani and Pedersen, {Michael Syskind} and Zheng-Hua Tan and Jesper Jensen",
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Maximum likelihood approach to “informed” Sound Source Localization for Hearing Aid applications. / Farmani, Mojtaba; Pedersen, Michael Syskind; Tan, Zheng-Hua; Jensen, Jesper.

I: I E E E International Conference on Acoustics, Speech and Signal Processing. Proceedings, 04.2015, s. 16-20.

Publikation: Bidrag til tidsskriftKonferenceartikel i tidsskriftForskningpeer review

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