Title :
Text-dependent speaker identification using circular hidden Markov models
Author :
Zheng, Yuan-Cheng ; Yuan, Bao-Zong
Author_Institution :
Inst. of Inf. Sci., Northern Jiaoing Univ., Beijing, China
Abstract :
A brief overview of hidden Markov models is given. The properties of circular hidden Markov models and their application to speaker recognition are discussed. For each person, a distinct reference CHMM is produced using the Baum forward-and-backward algorithm. Classification is carried out by selecting the model with the highest probability as the speaker identification system output. Preliminary testing on a set of ten speakers indicates a performance of about 94% speaker recognition accuracy
Keywords :
Markov processes; speech recognition; Baum forward-and-backward algorithm; circular hidden Markov models; performance; speaker recognition; speaker recognition accuracy; testing; text dependent speaker identification; Acoustic testing; Hidden Markov models; Information science; Loudspeakers; Speaker recognition; Speech recognition; State-space methods; Stochastic processes;
Conference_Titel :
Acoustics, Speech, and Signal Processing, 1988. ICASSP-88., 1988 International Conference on
Conference_Location :
New York, NY
DOI :
10.1109/ICASSP.1988.196651
