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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Krishnamoorthy, P. Prasanna, S.R.M. |
| Copyright Year | 2005 |
| Description | Author affiliation: Department of Electronics and Communication Engineering, Indian Institute of Technology Guwahati, Guwahati-781039, Assam, India. Email: pkm@iitg.ernet.in (Krishnamoorthy, P.) |
| Abstract | This paper proposes a modified spectral subtraction method for enhancing speech corrupted by additive background noise. The method is based on identifying and enhancing speech regions in the noisy speech signal. The speech regions are identified by computing the kurtosis and energy values from the noisy speech signals. For speech corrupted by additive background noise, kurtosis and energy values will be relatively high in speech regions compared to nonspeech regions. This property is exploited in deriving a weight function. The noisy signal is multiplied by the weight function to attenuate the noise in the nonspeech regions. The weighted speech signal is processed only in the speech regions by the spectral subtraction method to enhance speech components in the detected speech regions. The proposed method is effective in attenuating the noise components compared to the spectral subtraction method especially in nonspeech regions. |
| Starting Page | 146 |
| Ending Page | 150 |
| File Size | 2855799 |
| Page Count | 5 |
| File Format | |
| ISBN | 0780395883 |
| DOI | 10.1109/ICISIP.2005.1619427 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2005-12-14 |
| Publisher Place | India |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Additive noise Degradation Working environment noise Speech recognition Speech enhancement Signal processing Mobile communication Speaker recognition Background noise Speech processing |
| Content Type | Text |
| Resource Type | Article |
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