A neural net acoustic phonetic feature extractor based on wavelets

Author

Davenport, Michael R. ; Garudadri, Harinath

Author_Institution

Dept. of Phys., British Columbia Univ., Vancouver, BC, Canada

fYear

1991

fDate

9-10 May 1991

Firstpage

449

Abstract

An experimental speech processing system for extracting acoustic phonetic features from speaker independent continuous speech has been built and tested. The system uses wavelet analysis to preprocess the speech, and a two-layer receptive field neural network to recognize the phonetic features. The recognizer was implemented in software on a desktop computer, and DARPA´s TIMIT CD-ROM database of continuous speech was used for both training and testing. Preliminary results, using a network trained to recognize voicing and frication, are presented

Keywords

neural nets; speech analysis and processing; speech recognition; DARPA; TIMIT CD-ROM database; acoustic phonetic feature extractor; desktop computer; frication; neural network; phonetic features recognition; software; speaker independent continuous speech; speech processing system; testing; training; two-layer receptive field; voicing; wavelets; Acoustic testing; Acoustic waves; Feature extraction; Loudspeakers; Neural networks; Speech analysis; Speech processing; Speech recognition; System testing; Wavelet analysis;

fLanguage

English

Publisher

ieee

Conference_Titel

Communications, Computers and Signal Processing, 1991., IEEE Pacific Rim Conference on

Conference_Location

Victoria, BC

Print_ISBN

0-87942-638-1

Type

conf

DOI

10.1109/PACRIM.1991.160774

Filename

160774