Model based Binaural Enhancement of Voiced and Unvoiced Speech

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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
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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
Original languageEnglish
Title of host publicationIEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2017
PublisherIEEE
Publication date2017
Pages666-670
ISBN (Electronic)978-1-5090-4117-6
DOI
Publication statusPublished - 2017
Publication categoryResearch
Peer-reviewedYes
EventThe 42nd IEEE International Conference on Acoustics, Speech and Signal Processing: The Internet of Signals - New Orleans, United States
Duration: 5 Mar 20179 Mar 2017
http://www.ieee-icassp2017.org/
http://www.ieee-icassp2017.org/

Conference

ConferenceThe 42nd IEEE International Conference on Acoustics, Speech and Signal Processing
LandUnited States
ByNew Orleans
Periode05/03/201709/03/2017
Internetadresse
SeriesI E E E International Conference on Acoustics, Speech and Signal Processing. Proceedings
ISSN1520-6149

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