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Blind Speech Deconvolution via Pretrained Polynomial Dictionary and Sparse Representation. 18th Pacific-Rim Conference on Multimedia, Harbin, China, September 28-29, 2017

Guan, Jian, Wang, Xuan, Qi, Shuhan, Dong, Jing and Wang, Wenwu (2018) Blind Speech Deconvolution via Pretrained Polynomial Dictionary and Sparse Representation. 18th Pacific-Rim Conference on Multimedia, Harbin, China, September 28-29, 2017 In: Advances in Multimedia Information Processing – PCM 2017. Revised Selected Papers, Part I. Lecture Notes in Computer Science, 10735 . Springer, pp. 411-420. ISBN 978-3-319-77379-7 Online ISBN: 978-3-319-77380-3

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Abstract

Blind speech deconvolution aims to estimate both the source speech and acoustic channel from the convolutive reverberant speech. The problem is ill-posed and underdetermined, which often requires prior knowledge for the estimation of the source and channel. In this paper, we propose a blind speech deconvolution method via a pretrained polynomial dictionary and sparse representation. A polynomial dictionary learning technique is employed to learn the dictionary from room impulse responses, which is then used as prior information to estimate the source and the acoustic impulse responses via an alternating optimization strategy. Simulations are provided to demonstrate the performance of the proposed method.

Item Type: Book Section
Divisions : Faculty of Engineering and Physical Sciences > Electronic Engineering
Authors :
NameEmailORCID
Guan, Jian
Wang, Xuan
Qi, Shuhan
Dong, Jing
Wang, WenwuW.Wang@surrey.ac.uk
Editors :
NameEmailORCID
Zeng, Bing
Qingming, Huang
El Saddik, Abdulmotaleb
Li, Hongliang
Shuqiang, Jiang
Xiaopeng, Fan
Date : 10 May 2018
DOI : 10.1007/978-3-319-77380-3_39
Copyright Disclaimer : © Springer International Publishing AG, part of Springer Nature 2018. The final authenticated version is available online at https://doi.org/10.1007/978-3-319-77380-3_39
Uncontrolled Keywords : blind deconvolution, speech dereverberation, polynomial dic- tionary learning, acoustic channel estimation
Additional Information : Part of the Lecture Notes in Computer Science book series
Depositing User : Melanie Hughes
Date Deposited : 20 Nov 2018 09:41
Last Modified : 20 Nov 2018 09:41
URI: http://epubs.surrey.ac.uk/id/eprint/849897

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