Please use this identifier to cite or link to this item: http://scholarbank.nus.edu.sg/handle/10635/111266
Title: Multilayer perceptron postprocessor to Hidden Markov modeling for speech recognition
Authors: Jin, Guo
Chung, Lui Ho 
Issue Date: 1993
Citation: Jin, Guo,Chung, Lui Ho (1993). Multilayer perceptron postprocessor to Hidden Markov modeling for speech recognition. Proceedings - ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing 2 : II-263. ScholarBank@NUS Repository.
Abstract: In this paper, a new neural network postprocessor is introduced to enhance the classification capability of hidden Markov modeling for speech recognition. This postprocessor receives stimuli from not one but all word- HMMs for each word speech and does not require segmenting speech frames at subword level. A multilayer perceptron implementation has achieved 20% to 30% syllable error reduction in experiments reported here.
Source Title: Proceedings - ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing
URI: http://scholarbank.nus.edu.sg/handle/10635/111266
ISBN: 0780309464
ISSN: 07367791
Appears in Collections:Staff Publications

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