DocumentCode
1739525
Title
Study on recognition of speech based on HMM/MLP hybrid network
Author
Xinye, Huang ; Xiaohui, Ma ; Xiang, Li ; Fu Yuqing ; Jiren, Lu
Author_Institution
Dept. of Radio Eng., Southeast Univ., Nanjing, China
Volume
2
fYear
2000
fDate
2000
Firstpage
718
Abstract
This paper presents a new HMM/MLP hybrid network for speech recognition. By taking advantage of the discriminative training of MLPs, the unreasonable assumption on the model correctness of ML training in basic HMMs can be overcome, and the discriminative power and recognition performance can be improved. Experimental results demonstrate the efficiency of the HMM/MLP
Keywords
hidden Markov models; learning (artificial intelligence); multilayer perceptrons; speech recognition; HMM/MLP hybrid network; ML training; discriminative training; hidden Markov model; multilayer perceptron; speech recognition; Electronic mail; Equations; Erbium; Error correction; Hidden Markov models; Multilayer perceptrons; Power system modeling; Probability density function; Speech recognition; Viterbi algorithm;
fLanguage
English
Publisher
ieee
Conference_Titel
Signal Processing Proceedings, 2000. WCCC-ICSP 2000. 5th International Conference on
Conference_Location
Beijing
Print_ISBN
0-7803-5747-7
Type
conf
DOI
10.1109/ICOSP.2000.891611
Filename
891611
Link To Document