Sigmoidal spectral conversion with changeable dynamic region for speech feature extraction

A noise-resistant feature extraction method for speech recognition in adverse conditions is presented. The proposed method converts the speech spectrum by adjusting the dynamic region of the spectrum based on the level dependent property of auditory nerves. With this method, it is possible to alleviate the problems caused by shrunken spectral dynamic region from heavy background noise.
Publisher
IEE-INST ELEC ENG
Issue Date
1999-01
Language
ENG
Citation

ELECTRONICS LETTERS, v.35, no.2, pp.125 - 126

ISSN
0013-5194
URI
http://hdl.handle.net/10203/73522
Appears in Collection
EE-Journal Papers(저널논문)
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