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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Ephraim, Y. |
| Copyright Year | 1963 |
| Abstract | Since the statistics of the speech signal as well as of the noise are not explicitly available, and the most perceptually meaningful distortion measure is not known, model-based approaches have recently been extensively studied and applied to the three basic problems of speech enhancement: signal estimation from a given sample function of noisy speech, signal coding when only noisy speech is available, and recognition of noisy speech signals in man-machine communication. Research on the model-based approach is integrated and put into perspective with other more traditional approaches for speech enhancement. A unified statistical approach for the three basic problems of speech enhancement is developed, using composite source models for the signal and noise and a fairly large set of distortion measures.< |
| Sponsorship | IEEE Publication |
| Starting Page | 1526 |
| Ending Page | 1555 |
| Page Count | 30 |
| File Size | 3418697 |
| File Format | |
| ISSN | 00189219 |
| Volume Number | 80 |
| Issue Number | 10 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 1992-10-01 |
| Publisher Place | U.S.A. |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Speech enhancement Working environment noise Speech coding Distortion measurement Noise measurement Speech recognition Land mobile radio cellular systems Telephony Background noise Airports |
| Content Type | Text |
| Resource Type | Article |
| Subject | Computer Science Electrical and Electronic Engineering |
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