Model based Binaural Enhancement of Voiced and Unvoiced Speech

Mathew Shaji Kavalekalam; Mads Græsbøll Christensen; Jesper B. Boldt

doi:10.1109/ICASSP.2017.7952239

Model based Binaural Enhancement of Voiced and Unvoiced Speech

Mathew Shaji Kavalekalam, Mads Græsbøll Christensen, Jesper B. Boldt

Publikation: Bidrag til bog/antologi/rapport/konference proceeding › Konferenceartikel i proceeding › Forskning › peer review

5 Citationer (Scopus)

450 Downloads (Pure)

Abstract

This paper deals with the enhancement of speech in presence
of non-stationary babble noise. A binaural speech enhancement framework is proposed which takes into account both
the voiced and unvoiced speech production model. The usage
of this model in enhancement requires the Short term predictor (STP) parameters and the pitch information to be estimated. This paper uses a codebook based approach for estimating the STP parameters and a parametric binaural method
is proposed for estimating the pitch parameters. Improvements in objective score are shown when using the voicedunvoiced speech model in comparison to the conventional unvoiced speech model

Originalsprog	Engelsk
Titel	IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2017
Forlag	IEEE
Publikationsdato	2017
Sider	666-670
ISBN (Elektronisk)	978-1-5090-4117-6
DOI	https://doi.org/10.1109/ICASSP.2017.7952239
Status	Udgivet - 2017
Begivenhed	The 42nd IEEE International Conference on Acoustics, Speech and Signal Processing: The Internet of Signals - New Orleans, USA Varighed: 5 mar. 2017 → 9 mar. 2017 http://www.ieee-icassp2017.org/ http://www.ieee-icassp2017.org/

Konference

Konference	The 42nd IEEE International Conference on Acoustics, Speech and Signal Processing
Land/Område	USA
By	New Orleans
Periode	05/03/2017 → 09/03/2017
Internetadresse	http://www.ieee-icassp2017.org/ http://www.ieee-icassp2017.org/

Navn	I E E E International Conference on Acoustics, Speech and Signal Processing. Proceedings
ISSN	1520-6149

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10.1109/ICASSP.2017.7952239

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Citationsformater

@inproceedings{d1a09609837747c9998352997a2a747c,

title = "Model based Binaural Enhancement of Voiced and Unvoiced Speech",

abstract = "This paper deals with the enhancement of speech in presenceof non-stationary babble noise. A binaural speech enhancement framework is proposed which takes into account boththe voiced and unvoiced speech production model. The usageof this model in enhancement requires the Short term predictor (STP) parameters and the pitch information to be estimated. This paper uses a codebook based approach for estimating the STP parameters and a parametric binaural methodis proposed for estimating the pitch parameters. Improvements in objective score are shown when using the voicedunvoiced speech model in comparison to the conventional unvoiced speech model",

author = "Kavalekalam, {Mathew Shaji} and Christensen, {Mads Gr{\ae}sb{\o}ll} and Boldt, {Jesper B.}",

year = "2017",

doi = "10.1109/ICASSP.2017.7952239",

language = "English",

series = "I E E E International Conference on Acoustics, Speech and Signal Processing. Proceedings",

publisher = "IEEE",

pages = "666--670",

booktitle = "IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2017",

address = "United States",

note = "The 42nd IEEE International Conference on Acoustics, Speech and Signal Processing : The Internet of Signals, ICASSP2017 ; Conference date: 05-03-2017 Through 09-03-2017",

url = "http://www.ieee-icassp2017.org/, http://www.ieee-icassp2017.org/",

}

Kavalekalam, MS, Christensen, MG & Boldt, JB 2017, Model based Binaural Enhancement of Voiced and Unvoiced Speech. i IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2017. IEEE, I E E E International Conference on Acoustics, Speech and Signal Processing. Proceedings, s. 666-670, The 42nd IEEE International Conference on Acoustics, Speech and Signal Processing, New Orleans, USA, 05/03/2017. https://doi.org/10.1109/ICASSP.2017.7952239

Model based Binaural Enhancement of Voiced and Unvoiced Speech. / Kavalekalam, Mathew Shaji; Christensen, Mads Græsbøll; Boldt, Jesper B.
IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2017. IEEE, 2017. s. 666-670 (I E E E International Conference on Acoustics, Speech and Signal Processing. Proceedings).

Publikation: Bidrag til bog/antologi/rapport/konference proceeding › Konferenceartikel i proceeding › Forskning › peer review

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AB - This paper deals with the enhancement of speech in presenceof non-stationary babble noise. A binaural speech enhancement framework is proposed which takes into account boththe voiced and unvoiced speech production model. The usageof this model in enhancement requires the Short term predictor (STP) parameters and the pitch information to be estimated. This paper uses a codebook based approach for estimating the STP parameters and a parametric binaural methodis proposed for estimating the pitch parameters. Improvements in objective score are shown when using the voicedunvoiced speech model in comparison to the conventional unvoiced speech model

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M3 - Article in proceeding

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Model based Binaural Enhancement of Voiced and Unvoiced Speech

Abstract

Konference

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