DocumentCode :
3416797
Title :
A new algorithm for voicing detection and voice pitch estimation based on the neocognitron
Author :
Moxham, James R E ; Jones, Peter A. ; McDermott, Hugh J. ; Clark, Graeme M.
Author_Institution :
Australian Bionic Ear & Hearing Res. Inst., East Melbourne, Vic., Australia
fYear :
1992
fDate :
31 Aug-2 Sep 1992
Firstpage :
204
Lastpage :
213
Abstract :
One of the more widely used cochlear implants is the Nucleus multielectrode implant, developed by the University of Melbourne and Cochlear Pty Ltd. The speech processor used with this implant is the MSP, programmed with the multipeak strategy. This device incorporates circuits to estimate the fundamental frequency (F0) of speech signals and to decide whether voicing is present. The authors describe a new F0 estimator and voicing detection algorithm based on the neocognitron. Performance was compared with that of three other F0 estimation algorithms: linear predictive coding, cepstral analysis, and the algorithm used in the Multipeak-MSP processor. For the speech samples tested, the neocognitron performed more reliably than the other three systems
Keywords :
hearing aids; linear predictive coding; signal detection; spectral analysis; speech analysis and processing; speech recognition equipment; F0 estimator; Nucleus multielectrode implant; algorithm; cepstral analysis; cochlear implants; fundamental frequency; linear predictive coding; multipeak strategy; neocognitron; speech processor; speech signals; voice pitch estimation; voicing detection; Auditory implants; Cepstral analysis; Circuits; Cochlear implants; Detection algorithms; Frequency estimation; Linear predictive coding; Prediction algorithms; Speech processing; System testing;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Neural Networks for Signal Processing [1992] II., Proceedings of the 1992 IEEE-SP Workshop
Conference_Location :
Helsingoer
Print_ISBN :
0-7803-0557-4
Type :
conf
DOI :
10.1109/NNSP.1992.253692
Filename :
253692
Link To Document :
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