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HEŘMANSKÝ, H., GRÉZL, F.
Original Title
Local averaging and differentiating of spectral plane for TRAP-based ASR
Type
conference paper
Language
English
Original Abstract
Local frequency and time averaging and differentiating operators, using three neighboring points of critical-band time-frequency plane, are used to process the plane prior to its use in TRAP-based ASR. In that way, five alternative TRAP-based ASR systems (the original one and the time/frequency integrated/differentiated ones)are created. We show that the frequency differentiating operator improves performance of the TRAP-based ASR.
Keywords
speech, speech processing, feature extraction ,speech recognittion, TRAP, TRAP modifications
Authors
RIV year
2003
Released
23. 9. 2003
Publisher
Institute for Perceptual Artificial Intelligence
Location
Geneva
ISBN
1018-4074
Periodical
European Conference EUROSPEECH
Year of study
Number
9
State
Swiss Confederation
Pages count
4
URL
http://www.symporg.ch/eurospeech/
BibTex
@inproceedings{BUT14205, author="František {Grézl} and Hynek {Heřmanský}", title="Local averaging and differentiating of spectral plane for TRAP-based ASR", booktitle="Proc. EUROSPEECH 2003", year="2003", journal="European Conference EUROSPEECH", volume="2003", number="9", pages="4", publisher="Institute for Perceptual Artificial Intelligence", address="Geneva", issn="1018-4074", url="http://www.symporg.ch/eurospeech/" }