DocumentCode
2998941
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
fYear
1988
fDate
11-14 Apr 1988
Firstpage
580
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;
fLanguage
English
Publisher
ieee
Conference_Titel
Acoustics, Speech, and Signal Processing, 1988. ICASSP-88., 1988 International Conference on
Conference_Location
New York, NY
ISSN
1520-6149
Type
conf
DOI
10.1109/ICASSP.1988.196651
Filename
196651
Link To Document