Biometric speaker classification
Douglas J. Nelson, David C. Smith, D. J. Richman, Goffrey Townsend · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · 2000
We address the problem of classification of speakers based on measurements of features obtained from their speech. The process is an adaption of biometric methods used to identify people. The process for speech differs since speech is not stationary. We therefore propose the classification of speakers b y the statistical distributions of parameters which may be accurately estimated by modern signal processing techniques. The intent is to develop a speaker clustering algorithm which is dependent of transmission channel and insensitive to language variations, and which may be re-trained, with minimal data, to include a new speaker. We demonstrate effectiveness on the problem of identification of the speakers gender, and present evidence that the methods may be extended to the general problem of speaker identification.