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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Benyong Liu Jing Zhang Xiang Liao |
| Copyright Year | 2010 |
| Description | Author affiliation: Key Lab of Audio-Visual Material Examination, Guizhou Public Security Department, Guiyang 550001, China (Xiang Liao) || Institute of Intelligent Information Processing / College of, Computer Science and Information Technology, Guizhou University, Guiyang 550025, China (Benyong Liu; Jing Zhang) |
| Abstract | A kernel fitting algorithm is proposed for speech denoising to improve the precision of voice activity detection (VAD) and the performance of speech enhancement, of some popular algorithms. In the algorithm, a noisy speech frame is filtered by kernel fitting, and then its power spectral density is estimated and weighted by a gain factor constructed from frame energy and zero-crossing rate, so that a speech signal is obviously discriminated from a nonspeech one. By incorporation of the VAD outputs and the noise effect into the kernel fitting process, a speech frame is enhanced with better performance than the spectra subtraction algorithm. Experiments are taken on a real life speech signal plus simulated noises, and the results show the potentiality of the proposed algorithms in speech detection and enhancement. |
| Starting Page | 534 |
| Ending Page | 537 |
| File Size | 156268 |
| Page Count | 4 |
| File Format | |
| ISBN | 9781424458974 |
| e-ISBN | 9781424459001 |
| DOI | 10.1109/ICOSP.2010.5656090 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2010-10-24 |
| Publisher Place | China |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Speech Speech enhancement Kernel Fitting Noise measurement Noise spectra subtraction Speech detection speech enhancement kernel fitting cepstral coefficients power spectral density |
| Content Type | Text |
| Resource Type | Article |
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