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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Ben Jebara, S. |
| Copyright Year | 2006 |
| Description | Author affiliation: Res. Unit TECHTRA, Ecole Superieure des Commun. de Tunis, Ariana (Ben Jebara, S.) |
| Abstract | Traditional denoising techniques, powerful in terms of noise reduction, have the drawback of generating an annoying musical noise. This paper addresses the problem of enhancing speech in highly noisy environments using perceptual considerations. The postprocessing technique we develop, considers the masking threshold of both noisy speech and the denoised one, to detect musical noise components. Next, to make them inaudible, detected musical noise candidates are set under the noise masking threshold and their closest neighbors are smoothed. Extensive subjective and objective tests have shown that, after enhancement, the musical noise is well reduced even at very low signal to noise ratios |
| Sponsorship | The Inst. of Electr. and Electron. Eng., Inc. Circuits and Syst. Soc. (IEEE CASS) |
| File Size | 217205 |
| File Format | |
| ISBN | 142440469X |
| ISSN | 15206149 |
| DOI | 10.1109/ICASSP.2006.1660587 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2006-05-14 |
| Publisher Place | France |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Noise reduction Speech enhancement Signal to noise ratio Masking threshold Working environment noise Acoustic noise Optimized production technology Speech coding Noise level Frequency |
| Content Type | Text |
| Resource Type | Article |
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