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Blind speech dereverberation using batch and sequential Monte Carlo methods

Blind speech dereverberation using batch and sequential Monte Carlo methods
Blind speech dereverberation using batch and sequential Monte Carlo methods

Reverberation and noise cause significant deterioration of audio quality and intelligibility to signals recorded in acoustic environments. Bayesian dereverberation infers knowledge about the system by exploiting the statistical properties of speech and the acoustic channel. In Bayesian frameworks, the signal can be processed either sequentially using online methods or in a batch using offline methods. This paper compares the two approaches for blind speech dereverberation by means of a previously proposed batch approach and a novel sequential approach. Results show that while both methods have different advantages, online processing leads to a more flexible solution.

0271-4310
3226-3229
Evers, Christine
93090c84-e984-4cc3-9363-fbf3f3639c4b
Hopgood, James R.
ae180a4d-33bf-468d-ab66-5eeb152e7fc2
Bell, Judith
1ae45580-f516-4e83-af09-b6a9aa63f0f7
Evers, Christine
93090c84-e984-4cc3-9363-fbf3f3639c4b
Hopgood, James R.
ae180a4d-33bf-468d-ab66-5eeb152e7fc2
Bell, Judith
1ae45580-f516-4e83-af09-b6a9aa63f0f7

Evers, Christine, Hopgood, James R. and Bell, Judith (2008) Blind speech dereverberation using batch and sequential Monte Carlo methods. In IEEE International Symposium on Circuits and Systems, ISCAS. pp. 3226-3229 . (doi:10.1109/ISCAS.2008.4542145).

Record type: Conference or Workshop Item (Paper)

Abstract

Reverberation and noise cause significant deterioration of audio quality and intelligibility to signals recorded in acoustic environments. Bayesian dereverberation infers knowledge about the system by exploiting the statistical properties of speech and the acoustic channel. In Bayesian frameworks, the signal can be processed either sequentially using online methods or in a batch using offline methods. This paper compares the two approaches for blind speech dereverberation by means of a previously proposed batch approach and a novel sequential approach. Results show that while both methods have different advantages, online processing leads to a more flexible solution.

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More information

Published date: 19 September 2008
Venue - Dates: 2008 IEEE International Symposium on Circuits and Systems, ISCAS 2008, , Seattle, WA, United States, 2008-05-17 - 2008-05-20

Identifiers

Local EPrints ID: 445869
URI: http://eprints.soton.ac.uk/id/eprint/445869
ISSN: 0271-4310
PURE UUID: 132cd06a-e35d-4b1b-a1a4-0c7f5e01cd15
ORCID for Christine Evers: ORCID iD orcid.org/0000-0003-0757-5504

Catalogue record

Date deposited: 12 Jan 2021 17:32
Last modified: 12 Jan 2021 17:32

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Contributors

Author: Christine Evers ORCID iD
Author: James R. Hopgood
Author: Judith Bell

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