Wavelet-based Adaptive Multiresolution Tools Applied to Speech Recognition
- * naive examples which show drawbacks of discrete wavelet transform and windowed Fourier transform; * adaptive partition (with a 'best basis' approach) of speech-like signals by means of local trigonometric bases with orthonormal windows. * extraction of formant-like features from the cosine transform; * further proceedingings for classification of vowels or voiced speech are suggested at the end.
Author: | Andreas Simon |
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URN: | urn:nbn:de:hbz:386-kluedo-14503 |
Document Type: | Diploma Thesis |
Language of publication: | English |
Year of Completion: | 2006 |
Year of first Publication: | 2006 |
Publishing Institution: | Technische Universität Kaiserslautern |
Granting Institution: | Technische Universität Kaiserslautern |
Date of the Publication (Server): | 2006/10/17 |
Tag: | best basis; biorthogonal bases of L^2; entropy; formants; local trigonometric packets; spectrogram; speech recognition; wavelet packets; wavelets |
Faculties / Organisational entities: | Kaiserslautern - Fachbereich Mathematik |
DDC-Cassification: | 5 Naturwissenschaften und Mathematik / 510 Mathematik |
Licence (German): | Standard gemäß KLUEDO-Leitlinien vor dem 27.05.2011 |