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 language | English |
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Title of host publication | IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2015 |
Publisher | IEEE Signal Processing Society |
Publication date | 2015 |
Pages | 31 - 35 |
ISBN (Electronic) | 978-1-4673-6997-8 |
DOIs | |
Publication status | Published - 2015 |
Event | 40th IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) 2015 - Brisbane, Australia Duration: 19 Apr 2015 → 24 Apr 2015 Conference number: 2015 |
Conference
Conference | 40th IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) 2015 |
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Number | 2015 |
Country/Territory | Australia |
City | Brisbane |
Period | 19/04/2015 → 24/04/2015 |
Series | I E E E International Conference on Acoustics, Speech and Signal Processing. Proceedings |
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ISSN | 1520-6149 |