Title :
A cepstral based speaker recognition system
Author :
Sethuraman, Radhaknshnan ; Gowdy, John N.
Author_Institution :
Dept. of Electr. & Comput. Eng., Clemson Univ., SC, USA
Abstract :
Development of a fixed limited vocabulary automatic speaker recognition system is described. The operation of the system is based on extraction of ceptstral features from single isolated word utterances by various speakers. A dynamic time warping algorithm is used in the comparison stage to bring the feature vectors being compared into time alignment. A nearest neighbor rule is used to determine the identity of the speaker
Keywords :
speech recognition; cepstral features extraction; dynamic time warping algorithm; feature vectors; nearest neighbor rule; speaker recognition system; speech recognition; time alignment; word utterances; Autocorrelation; Cepstral analysis; Frequency; Humans; Linear predictive coding; Loudspeakers; Predictive models; Speaker recognition; Speech recognition; Vocabulary;
Conference_Titel :
System Theory, 1989. Proceedings., Twenty-First Southeastern Symposium on
Conference_Location :
Tallahassee, FL
Print_ISBN :
0-8186-1933-3
DOI :
10.1109/SSST.1989.72519
