Single-Channel Blind Estimation of Reverberation Parameters

C.S.J. Doire, M. D. Brookes, P. A. Naylor, D. Betts, C. Hicks, M. Dmour, Søren Holdt Jensen

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

5 Citations (Scopus)

Abstract

The reverberation of an acoustic channel can be characterised by two frequency-dependent parameters: the reverberation time and the direct-to-reverberant energy ratio. This paper presents an algorithm for blindly determining these parameters from a single-channel speech signal. The algorithm uses an extended Kalman filter to estimate the parameters together with a hidden semi-Markov model to identify intervals of speech activity.
Original languageEnglish
Title of host publicationIEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2015
PublisherIEEE Signal Processing Society
Publication date2015
Pages31 - 35
ISBN (Electronic)978-1-4673-6997-8
DOIs
Publication statusPublished - 2015
Event40th IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) 2015 - Brisbane, Australia
Duration: 19 Apr 201524 Apr 2015
Conference number: 2015

Conference

Conference40th IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) 2015
Number2015
CountryAustralia
CityBrisbane
Period19/04/201524/04/2015
SeriesI E E E International Conference on Acoustics, Speech and Signal Processing. Proceedings
ISSN1520-6149

Cite this

Doire, C. S. J., Brookes, M. D., Naylor, P. A., Betts, D., Hicks, C., Dmour, M., & Jensen, S. H. (2015). Single-Channel Blind Estimation of Reverberation Parameters. In IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2015 (pp. 31 - 35). IEEE Signal Processing Society. I E E E International Conference on Acoustics, Speech and Signal Processing. Proceedings https://doi.org/10.1109/ICASSP.2015.7177926
Doire, C.S.J. ; Brookes, M. D. ; Naylor, P. A. ; Betts, D. ; Hicks, C. ; Dmour, M. ; Jensen, Søren Holdt. / Single-Channel Blind Estimation of Reverberation Parameters. IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2015. IEEE Signal Processing Society, 2015. pp. 31 - 35 (I E E E International Conference on Acoustics, Speech and Signal Processing. Proceedings).
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abstract = "The reverberation of an acoustic channel can be characterised by two frequency-dependent parameters: the reverberation time and the direct-to-reverberant energy ratio. This paper presents an algorithm for blindly determining these parameters from a single-channel speech signal. The algorithm uses an extended Kalman filter to estimate the parameters together with a hidden semi-Markov model to identify intervals of speech activity.",
author = "C.S.J. Doire and Brookes, {M. D.} and Naylor, {P. A.} and D. Betts and C. Hicks and M. Dmour and Jensen, {S{\o}ren Holdt}",
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language = "English",
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Doire, CSJ, Brookes, MD, Naylor, PA, Betts, D, Hicks, C, Dmour, M & Jensen, SH 2015, Single-Channel Blind Estimation of Reverberation Parameters. in IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2015. IEEE Signal Processing Society, I E E E International Conference on Acoustics, Speech and Signal Processing. Proceedings, pp. 31 - 35, 40th IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) 2015, Brisbane, Australia, 19/04/2015. https://doi.org/10.1109/ICASSP.2015.7177926

Single-Channel Blind Estimation of Reverberation Parameters. / Doire, C.S.J.; Brookes, M. D. ; Naylor, P. A. ; Betts, D. ; Hicks, C.; Dmour, M.; Jensen, Søren Holdt.

IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2015. IEEE Signal Processing Society, 2015. p. 31 - 35 (I E E E International Conference on Acoustics, Speech and Signal Processing. Proceedings).

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

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AB - The reverberation of an acoustic channel can be characterised by two frequency-dependent parameters: the reverberation time and the direct-to-reverberant energy ratio. This paper presents an algorithm for blindly determining these parameters from a single-channel speech signal. The algorithm uses an extended Kalman filter to estimate the parameters together with a hidden semi-Markov model to identify intervals of speech activity.

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Doire CSJ, Brookes MD, Naylor PA, Betts D, Hicks C, Dmour M et al. Single-Channel Blind Estimation of Reverberation Parameters. In IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2015. IEEE Signal Processing Society. 2015. p. 31 - 35. (I E E E International Conference on Acoustics, Speech and Signal Processing. Proceedings). https://doi.org/10.1109/ICASSP.2015.7177926