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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Wen, J.Y.C. Habets, E.A.P. Naylor, P.A. |
| Copyright Year | 2008 |
| Description | Author affiliation: Dept. of EEE, Imperial Coll. London, London (Wen, J.Y.C.) |
| Abstract | The reverberation time is one of the most prominent acoustic characteristics of an enclosure. Its value can be used to predict speech intelligibility, and is used by speech enhancement techniques to suppress reverberation. The reverberation time is usually obtained by analysing the decay rate of (i) the energy decay curve that is observed when a noise source is switched off, and (ii) the energy decay curve of the room impulse response. Estimating the reverberation time using only the observed reverberant speech signal, i.e., blind estimation, is required for speech evaluation and enhancement techniques. Recently, (semi) blind methods have been developed. Unfortunately, these methods are not very accurate when the source consists of a human speaker, and unnatural speech pauses are required to detect and/or track the decay. In this paper we extract and analyse the decay rate of the energy envelope blindly from the observed reverberation speech signal in the short-time Fourier transform domain. We develop a method to estimate the reverberation time using a property of the distribution of the decay rates. Experimental results using simulated and real reverberant speech signals demonstrate the performance of the new method. |
| Starting Page | 329 |
| Ending Page | 332 |
| File Size | 233026 |
| Page Count | 4 |
| File Format | |
| ISBN | 9781424414833 |
| ISSN | 15206149 |
| DOI | 10.1109/ICASSP.2008.4517613 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2008-03-31 |
| Publisher Place | USA |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Reverberation Speech enhancement Speech analysis Microphones Acoustic noise Humans Signal analysis Fourier transforms Time frequency analysis Frequency estimation acoustic signal analysis reverberation time blind estimation |
| Content Type | Text |
| Resource Type | Article |
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