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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Yegnanarayana, B. Murthy, P.S. |
| Copyright Year | 1993 |
| Abstract | We propose a new method of processing speech degraded by reverberation. The method is based on analysis of short (2 ms) segments of data to enhance the regions in the speech signal having a high signal-to-reverberant component ratio (SRR). The short segment analysis shows that SRR is different in different segments of speech. The processing method involves identifying and manipulating the linear prediction residual signal in three different regions of the speech signal, namely, high SRR region, low SRR region, and only reverberation component region. A weight function is derived to modify the linear prediction residual signal. The weighted residual signal samples are used to excite a time-varying all-pole filter to obtain perceptually enhanced speech. The method is robust to noise present in the recorded speech signal. The performance is illustrated through spectrograms, subjective and objective evaluations. |
| Starting Page | 267 |
| Ending Page | 281 |
| Page Count | 15 |
| File Size | 478125 |
| File Format | |
| ISSN | 10636676 |
| Volume Number | 8 |
| Issue Number | 3 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2000-05-01 |
| Publisher Place | U.S.A. |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Speech enhancement Speech analysis Speech processing Reverberation Signal processing Degradation Signal analysis Filters Noise robustness Spectrogram |
| Content Type | Text |
| Resource Type | Article |
| Subject | Acoustics and Ultrasonics Electrical and Electronic Engineering Computer Vision and Pattern Recognition Software |
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