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PEVD-Based Speech Enhancement in Reverberant Environments

PEVD-Based Speech Enhancement in Reverberant Environments
PEVD-Based Speech Enhancement in Reverberant Environments
The enhancement of noisy speech is important for applications involving human-to-human interactions, such as telecommunications and hearing aids, as well as human-to-machine interactions, such as voice-controlled systems and robot audition. In this work, we focus on reverberant environments. It is shown that, by exploiting the lack of correlation between speech and the late reflections, further noise reduction can be achieved. This is verified using simulations involving actual acoustic impulse responses and noise from the ACE corpus. The simulations show that even without using a noise estimator, our proposed method simultaneously achieves noise reduction, and enhancement of speech quality and intelligibility, in reverberant environments over a wide range of SNRs. Furthermore, informal listening examples highlight that our approach does not introduce any significant processing artefacts such as musical noise.
IEEE
Neo, Vincent W.
7ec5cc5f-8248-40ec-8864-b31335d4ddf2
Evers, Christine
93090c84-e984-4cc3-9363-fbf3f3639c4b
Naylor, Patrick A.
000bc536-bdd1-4379-8323-c52844ff4cd5
Neo, Vincent W.
7ec5cc5f-8248-40ec-8864-b31335d4ddf2
Evers, Christine
93090c84-e984-4cc3-9363-fbf3f3639c4b
Naylor, Patrick A.
000bc536-bdd1-4379-8323-c52844ff4cd5

Neo, Vincent W., Evers, Christine and Naylor, Patrick A. (2020) PEVD-Based Speech Enhancement in Reverberant Environments. In Proceedings IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). IEEE.. (In Press)

Record type: Conference or Workshop Item (Paper)

Abstract

The enhancement of noisy speech is important for applications involving human-to-human interactions, such as telecommunications and hearing aids, as well as human-to-machine interactions, such as voice-controlled systems and robot audition. In this work, we focus on reverberant environments. It is shown that, by exploiting the lack of correlation between speech and the late reflections, further noise reduction can be achieved. This is verified using simulations involving actual acoustic impulse responses and noise from the ACE corpus. The simulations show that even without using a noise estimator, our proposed method simultaneously achieves noise reduction, and enhancement of speech quality and intelligibility, in reverberant environments over a wide range of SNRs. Furthermore, informal listening examples highlight that our approach does not introduce any significant processing artefacts such as musical noise.

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More information

Accepted/In Press date: 24 January 2020

Identifiers

Local EPrints ID: 438605
URI: http://eprints.soton.ac.uk/id/eprint/438605
PURE UUID: 9dc98b51-f6d0-4bd6-960c-1cf87722e34f
ORCID for Christine Evers: ORCID iD orcid.org/0000-0003-0757-5504

Catalogue record

Date deposited: 18 Mar 2020 17:32
Last modified: 20 May 2020 01:04

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Contributors

Author: Vincent W. Neo
Author: Christine Evers ORCID iD
Author: Patrick A. Naylor

University divisions

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