On the effectiveness of speech enhancement to a proposed speech recognition process that applied to noisy isolated-word recognition

2008 ◽  
Author(s):  
Lih-Cherng Liu ◽  
Ching-Ta Lu ◽  
Ho-Hsuan Tsai
Keyword(s):  
Speech Recognition ◽  
Word Recognition ◽  
Speech Enhancement ◽  
Recognition Process ◽  
Isolated Word ◽  
Isolated Word Recognition

Noise Speech Recognition Based on Compressive Sensing

2011 ◽  
Vol 268-270 ◽  
pp. 82-87
Author(s):  
Zhi Peng Zhao ◽  
Yi Gang Cen ◽  
Xiao Fang Chen
Keyword(s):  
Speech Recognition ◽  
Word Recognition ◽  
Compressive Sensing ◽  
Recognition Accuracy ◽  
Recognition Performance ◽  
Recognition System ◽  
Speech Recognition System ◽  
Recognition Method ◽  
Isolated Word ◽  
Isolated Word Recognition

In this paper, we proposed a new noise speech recognition method based on the compressive sensing theory. Through compressive sensing, our method increases the anti-noise ability of speech recognition system greatly, which leads to the improvement of the recognition accuracy. According to the experiments, our proposed method achieved better recognition performance compared with the traditional isolated word recognition method based on DTW algorithm.

The Design of Isolated Word Recognition Based on ARM9

2010 ◽  
Vol 171-172 ◽  
pp. 104-108
Author(s):  
Hui Pan ◽  
Wen Shang Xu ◽  
Xiu Jing Wang
Keyword(s):  
Speech Recognition ◽  
Word Recognition ◽  
Pattern Matching ◽  
Characteristic Parameters ◽  
Actual Usage ◽  
Great Progress ◽  
Isolated Word ◽  
Isolated Word Recognition

Nowadays,the theory and technology of speech recognition have made great progress,but in actual usage,they worked not very well.For some usage on some certain conditions ,we designed a small list, isolated word recognizer. With this system, we chosed ARM9 as the processor,MFCC as the characteristic parameters of speech sequences and adopted DTW to do pattern matching, As a result,it achieved hign rate of recognition and performed perfectly.

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