A MODIFIED SPECTRAL SUBTRACTION METHOD COMBINED WITH PERCEPTUAL WEIGHTING FOR SPEECH ENHANCEMENT
| Author: |
Bhatnagar, Mukul |
| Advisor: |
Philip Loizou |
| URL: |
http://www.utdallas.edu/~loizou/thesis/mukul_ms_thesis.pdf
" target="_blank"> http://www.utdallas.edu/~loizou/thesis/mukul_ms_thesis.pdf
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| Completion Date: |
August 2002 |
| Degree: |
M.Sc./M.A. |
| Institution: |
University of Texas at Dallas |
| Abstract: |
Reducing noise in corrupted speech remains an important problem and has a broad range of applications, most of which are driven by the explosive growth of mobile communications. Numerous approaches have been proposed for speech enhancement, with the spectral subtraction method being one of the most popular, due to its relatively simple implementation and computational efficiency. The spectral subtraction method has some inherent limitations and drawbacks. This thesis proposes a modification to the conventional spectral subtraction approach in order to address the problem of musical noise and speech distortion that is inherent to the conventional spectral subtraction based approach. Further enhancements in speech quality were obtained by applying a perceptual weighting function (estimated using a psychoacoustics model) that was designed to minimize noise distortion. Objective measures and informal listening tests showed that the proposed modified spectral subtraction method combined with perceptual weighting outperformed the conventional power spectral subtraction method resulting in better speech quality and reduced levels of musical noise. |
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