Title :
An improved multisection vector quantization model with application to Chinese digits recognition
Author :
Rong, Zhang ; Zhaoxiong, C. Hen ; Heyan, Huang
Author_Institution :
Inst. of Comput. Technol., Acad. Sinica, Beijing, China
Abstract :
In this paper, an improved model using multisection vector quantization (MVQ) is proposed and detailed experimental results are discussed. The major weakness of conventional MVQ is that it can not make segments accurately. Thus, a dynamic segmenting algorithm based on the Viterbi algorithm is presented. Moreover explicit state duration density and dynamic features are integrated into the model. Thus more acoustic information is depicted and a better performance is acquired
Keywords :
maximum likelihood estimation; speech recognition; vector quantisation; Chinese digits recognition; MVQ; Viterbi algorithm; acoustic information; dynamic features; dynamic segmenting algorithm; explicit state duration density features; improved multisection vector quantization model; performance; Acoustic distortion; Cepstral analysis; Computers; Encoding; Gaussian processes; Heuristic algorithms; Hidden Markov models; Speech recognition; Vector quantization; Viterbi algorithm;
Conference_Titel :
Signal Processing, 1996., 3rd International Conference on
Conference_Location :
Beijing
Print_ISBN :
0-7803-2912-0
DOI :
10.1109/ICSIGP.1996.567371
