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