Model based Estimation of STP parameters for Binaural Speech Enhancement

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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.
Original languageEnglish
Title of host publication2018 26th European Signal Processing Conference (EUSIPCO)
PublisherIEEE
Publication date2018
Article number8553145
ISBN (Print)978-90-827970-0-8, 978-1-5386-3736-4
ISBN (Electronic)978-9-0827-9701-5
DOIs
Publication statusPublished - 2018
Event26th European Signal Processing Conference (EUSIPCO 2018) - Rome, Italy
Duration: 3 Sep 20187 Sep 2018
Conference number: 26
http://www.eusipco2018.org

Conference

Conference26th European Signal Processing Conference (EUSIPCO 2018)
Number26
CountryItaly
CityRome
Period03/09/201807/09/2018
Internet address
SeriesProceedings of the European Signal Processing Conference
ISSN2076-1465

Fingerprint

Speech enhancement
Power spectral density

Keywords

  • autoregressive modelling, binaural speech enhancement

Cite this

Kavalekalam, M. S., Nielsen, J. K., Christensen, M. G., & Boldt, J. B. (2018). Model based Estimation of STP parameters for Binaural Speech Enhancement. In 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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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.",
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Kavalekalam, MS, Nielsen, JK, Christensen, MG & Boldt, JB 2018, Model based Estimation of STP parameters for Binaural Speech Enhancement. in 2018 26th European Signal Processing Conference (EUSIPCO)., 8553145, IEEE, Proceedings of the European Signal Processing Conference, 26th European Signal Processing Conference (EUSIPCO 2018), Rome, Italy, 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).

Research output: Contribution to book/anthology/report/conference proceedingArticle in proceedingResearchpeer-review

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Kavalekalam MS, Nielsen JK, Christensen MG, Boldt JB. Model based Estimation of STP parameters for Binaural Speech Enhancement. In 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