DocumentCode :
2926414
Title :
A Novel Noise Immune, Fuzzy Approach to Speaker Independent, Isolated Word Speech Recognition
Author :
Halavati, Ramin ; Shouraki, Saeed Bagheri ; Razaghpour, Mina ; Tajik, Hossein ; Cholakian, Arpineh
Author_Institution :
Sharif Univ. of Technol., Tehran
fYear :
2006
fDate :
24-26 July 2006
Firstpage :
1
Lastpage :
6
Abstract :
This paper presents a novel approach to isolated word speech recognition using fuzzy modeling which is specifically designed to ignore noise. The task is based on conversion of speech spectrogram into a linguistic fuzzy description and comparison of this representation with fuzzy linguistic descriptions of words. The method is tested on single speaker and multiple speaker tests and the results are compared with a widely used speech recognition approach, showing much higher noise resistance.
Keywords :
fuzzy set theory; gesture recognition; speech recognition; fuzzy modeling; fuzzy speech recognition; isolated word speech recognition; linguistic fuzzy description; noise immune speech recognition; noise resistance; speaker independent speech recognition; speech spectrogram; Acoustic noise; Design automation; Design engineering; Hidden Markov models; Humans; Immune system; Noise level; Speech enhancement; Speech recognition; Testing; Fuzzy Modeling; Speech Recognition;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Automation Congress, 2006. WAC '06. World
Conference_Location :
Budapest
Print_ISBN :
1-889335-33-9
Type :
conf
DOI :
10.1109/WAC.2006.376025
Filename :
4259941
Link To Document :
بازگشت