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A Novel Fuzzy Approach to Speech Recognition
Kitakyushu, Japan December 05-December 08
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/ICHIS.2004.11Fourth International Conference on Hy ...
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Ramin Halavati, Saeed Bagheri Shouraki, Mahsa Eshraghi, Milad Alemzadeh, Pujan Ziaie, "A Novel Fuzzy Approach to Speech Recognition," Hybrid Intelligent Systems, International Conference on, pp. 340-345, Fourth International Conference on Hybrid Intelligent Systems (HIS'04), 2004.
 
 
BibTex
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@article{ 10.1109/ICHIS.2004.11,
author = {Ramin Halavati and Saeed Bagheri Shouraki and Mahsa Eshraghi and Milad Alemzadeh and Pujan Ziaie},
title = {A Novel Fuzzy Approach to Speech Recognition},
journal ={Hybrid Intelligent Systems, International Conference on},
volume = {0},
year = {2004},
isbn = {0-7695-2291-2},
pages = {340-345},
doi = {http://doi.ieeecomputersociety.org/10.1109/ICHIS.2004.11},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
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TY - CONF
JO - Hybrid Intelligent Systems, International Conference on
TI - A Novel Fuzzy Approach to Speech Recognition
SN - 0-7695-2291-2
SP340
EP345
A1 - Ramin Halavati,
A1 - Saeed Bagheri Shouraki,
A1 - Mahsa Eshraghi,
A1 - Milad Alemzadeh,
A1 - Pujan Ziaie,
PY - 2004
KW - null
VL - 0
JA - Hybrid Intelligent Systems, International Conference on
ER -
 
Ramin Halavati, Sharif University of Technology, Tehran, Iran
Saeed Bagheri Shouraki, Sharif University of Technology, Tehran, Iran
Mahsa Eshraghi, Sharif University of Technology, Tehran, Iran
Milad Alemzadeh, Sharif University of Technology, Tehran, Iran
Pujan Ziaie, Sharif University of Technology, Tehran, Iran
This paper presents a novel approach to speech recognition using fuzzy modeling. The task begins with conversion of speech spectrogram into a linguistic description based on arbitrary colors and lengths. While phonemes are also described using these fuzzy measures, and recognition is done by normal fuzzy reasoning, a genetic algorithm optimizes phoneme definitions so that to classify samples into correct phonemes. The method is tested over a standard speech data base and the results are presented.
Citation:
Ramin Halavati, Saeed Bagheri Shouraki, Mahsa Eshraghi, Milad Alemzadeh, Pujan Ziaie, "A Novel Fuzzy Approach to Speech Recognition," his, pp.340-345, Fourth International Conference on Hybrid Intelligent Systems (HIS'04), 2004
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