Model based Estimation of STP parameters for Binaural Speech Enhancement

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Resumé

This paper deals with the estimation of the short-term predictor (STP) parameters of speech and noise in a binaural framework. A binaural model based approach is proposed for estimating the power spectral density (PSD) of speech and noise at the individual ears for an arbitrary position of the speech source. The estimated PSDs can be subsequently used for enhancement in a binaural framework. The experimental results show that taking into account the position of the speech source using the proposed method leads to improved modelling and enhancement of the noisy speech.
OriginalsprogEngelsk
Titel2018 26th European Signal Processing Conference (EUSIPCO)
ForlagIEEE
Publikationsdato2018
Artikelnummer8553145
ISBN (Trykt)978-90-827970-0-8, 978-1-5386-3736-4
ISBN (Elektronisk)978-9-0827-9701-5
DOI
StatusUdgivet - 2018
Begivenhed26th European Signal Processing Conference (EUSIPCO 2018) - Rome, Italien
Varighed: 3 sep. 20187 sep. 2018
Konferencens nummer: 26
http://www.eusipco2018.org

Konference

Konference26th European Signal Processing Conference (EUSIPCO 2018)
Nummer26
LandItalien
ByRome
Periode03/09/201807/09/2018
Internetadresse
NavnProceedings of the European Signal Processing Conference
ISSN2076-1465

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Speech enhancement
Power spectral density

Citer dette

Kavalekalam, M. S., Nielsen, J. K., Christensen, M. G., & Boldt, J. B. (2018). Model based Estimation of STP parameters for Binaural Speech Enhancement. I 2018 26th European Signal Processing Conference (EUSIPCO) [8553145] IEEE. Proceedings of the European Signal Processing Conference https://doi.org/10.23919/EUSIPCO.2018.8553145
Kavalekalam, Mathew Shaji ; Nielsen, Jesper Kjær ; Christensen, Mads Græsbøll ; Boldt, Jesper Bünsow. / Model based Estimation of STP parameters for Binaural Speech Enhancement. 2018 26th European Signal Processing Conference (EUSIPCO). IEEE, 2018. (Proceedings of the European Signal Processing Conference).
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title = "Model based Estimation of STP parameters for Binaural Speech Enhancement",
abstract = "This paper deals with the estimation of the short-term predictor (STP) parameters of speech and noise in a binaural framework. A binaural model based approach is proposed for estimating the power spectral density (PSD) of speech and noise at the individual ears for an arbitrary position of the speech source. The estimated PSDs can be subsequently used for enhancement in a binaural framework. The experimental results show that taking into account the position of the speech source using the proposed method leads to improved modelling and enhancement of the noisy speech.",
keywords = "autoregressive modelling, binaural speech enhancement",
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Kavalekalam, MS, Nielsen, JK, Christensen, MG & Boldt, JB 2018, Model based Estimation of STP parameters for Binaural Speech Enhancement. i 2018 26th European Signal Processing Conference (EUSIPCO)., 8553145, IEEE, Proceedings of the European Signal Processing Conference, Rome, Italien, 03/09/2018. https://doi.org/10.23919/EUSIPCO.2018.8553145

Model based Estimation of STP parameters for Binaural Speech Enhancement. / Kavalekalam, Mathew Shaji; Nielsen, Jesper Kjær; Christensen, Mads Græsbøll; Boldt, Jesper Bünsow.

2018 26th European Signal Processing Conference (EUSIPCO). IEEE, 2018. 8553145 (Proceedings of the European Signal Processing Conference).

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

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T1 - Model based Estimation of STP parameters for Binaural Speech Enhancement

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AB - This paper deals with the estimation of the short-term predictor (STP) parameters of speech and noise in a binaural framework. A binaural model based approach is proposed for estimating the power spectral density (PSD) of speech and noise at the individual ears for an arbitrary position of the speech source. The estimated PSDs can be subsequently used for enhancement in a binaural framework. The experimental results show that taking into account the position of the speech source using the proposed method leads to improved modelling and enhancement of the noisy speech.

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Kavalekalam MS, Nielsen JK, Christensen MG, Boldt JB. Model based Estimation of STP parameters for Binaural Speech Enhancement. I 2018 26th European Signal Processing Conference (EUSIPCO). IEEE. 2018. 8553145. (Proceedings of the European Signal Processing Conference). https://doi.org/10.23919/EUSIPCO.2018.8553145