DocumentCode
541769
Title
Noise robust isolated word recognition
Author
Sumithra, M.G. ; Ramya, M.S. ; Thanuskodi, K.
Author_Institution
Dept. of ECE, Bannari Amman Inst. of Technol., Sathyamangalam, India
fYear
2010
fDate
27-29 Dec. 2010
Firstpage
362
Lastpage
367
Abstract
In this paper, we suggest a noise robust isolated word speech recognition system which can be applied in various noise environments. In this method, Kalman filter is used to remove the background noise and to enhance the speech signal. The enhanced signal is integrated into the front end of Dynamic Time Warping (DTW) isolated word recognition in order to guarantee high performance and robust recognition system. Performance of recognition word accuracy is evaluated under clean and different noisy environments.
Keywords
natural language processing; signal denoising; speech processing; speech recognition; word processing; Kalman filter; background noise removal; dynamic time warping; isolated word recognition; noise robust isolated word speech recognition system; robust recognition system; speech signal enhancement; Accuracy; Kalman filters; Noise; Noise measurement; Speech; Speech enhancement; Speech recognition; Dynamic Time Warping; Feature Extraction; Speech Enhancement;
fLanguage
English
Publisher
ieee
Conference_Titel
Communication and Computational Intelligence (INCOCCI), 2010 International Conference on
Conference_Location
Erode
Type
conf
Filename
5738758
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