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
-