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http://dx.doi.org/10.5391/JKIIS.2010.20.2.208

Implementation of Speech Recognition Filtering at Emergency  

Cho, Young-Im (수원대학교 IT대학 컴퓨터학과)
Jang, Sung-Soon (수원대학교 IT대학 컴퓨터학과)
Publication Information
Journal of the Korean Institute of Intelligent Systems / v.20, no.2, 2010 , pp. 208-213 More about this Journal
Abstract
Generally, the mal factor for speech recognition is the background noise in speech recognition. The noise is the reason to reduce the speech recognition performance. Owing to the fact, the place to recognize is very important. To improve the recognition performance from the sound having noise, we implemented the noise filtered Wiener filter at the signal process step which adopted the FIR filter. In FIR filter, it deal with the filtered speech signal which is appropriate frequency range of human speech frequency range. Therefore, we make the recognition system distinguish between noise and speech sound from the incoming speech signal.
Keywords
Emergency; Wiener filter; Noise filtering;
Citations & Related Records
Times Cited By KSCI : 4  (Citation Analysis)
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