Wavelet methods in speech recognition
In this thesis, novel wavelet techniques are developed to improve parametrization of speech signals prior to classification. It is shown that non-linear operations carried out in the wavelet domain improve the performance of a speech classifier and consistently outperform classical Fourier methods....
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| Format: | Default Thesis |
| Published: |
1999
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| Subjects: | |
| Online Access: | https://hdl.handle.net/2134/14108 |
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