Title :
Algorithms for speech classification
Author :
Liao, Lucy ; Gregory, Mark A.
Author_Institution :
RMIT, Melbourne Univ., Vic., Australia
Abstract :
This paper describes a technique of using the Rabiner and Sambur (1995) algorithm for detecting silence from speech, and a technique which uses a pattern recognition approach for classifying speech into voiced and unvoiced speech. The pattern recognition approach provides a several effective methods of combining the contributions of speech features into a single classifier providing reliable separation between classes
Keywords :
Bayes methods; feature extraction; pattern classification; speech recognition; pattern recognition approach; reliable class separation; silence detection; speech classification; unvoiced speech; voiced speech; Australia; Classification algorithms; Detectors; Equations; Pattern recognition; Signal processing algorithms; Speech analysis; Speech coding; Speech recognition; Speech synthesis;
Conference_Titel :
Signal Processing and Its Applications, 1999. ISSPA '99. Proceedings of the Fifth International Symposium on
Conference_Location :
Brisbane, Qld.
Print_ISBN :
1-86435-451-8
DOI :
10.1109/ISSPA.1999.815750
