TY - GEN A1 - Simon, Andreas T1 - Wavelet-based Adaptive Multiresolution Tools Applied to Speech Recognition N2 - * 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. KW - speech recognition KW - wavelets KW - wavelet packets KW - local trigonometric packets KW - formants KW - entropy KW - best basis KW - spectrogram KW - biorthogonal bases of L^2 Y1 - 2006 UR - https://kluedo.ub.uni-kl.de/frontdoor/index/index/docId/1785 UR - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:hbz:386-kluedo-14503 ER -