IEEE - Institute of Electrical and Electronics Engineers, Inc. - Apply fuzzy vector quantization to improve the observation-based Discrete Hidden Markov Model — An example on electroencephalogram (EEG) signal recognition

2011 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE)

Author(s): Shing-Tai Pan ; Sheng-Fu Liang ; Tzung-Pei Hong ; Jian-Hong Zeng
Publisher: IEEE - Institute of Electrical and Electronics Engineers, Inc.
Publication Date: 1 June 2011
Conference Location: Taipei, Taiwan, Taiwan
Conference Date: 27 June 2011
Page(s): 1,674 - 1,680
ISBN (Electronic): 978-1-4244-7317-5
ISBN (Paper): 978-1-4244-7315-1
ISBN (Online): 978-1-4244-7316-8
ISSN (Paper): 1098-7584
ISSN (Online): 1098-7584
DOI: 10.1109/FUZZY.2011.6007714
Regular:

This paper applies fuzzy vector quantization (FVQ) to the modeling of observation-based Discrete Hidden Markov Model (DHMM) and then to improve the speech recognition rate for the Mandarin speech.... View More

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