A Study on Korean Isolated Word Speech Detection and Recognition using Wavelet Feature Parameter 


Vol. 7,  No. 7, pp. 2238-2245, Jul.  2000
10.3745/KIPSTE.2000.7.7.2238


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  Abstract

In this paper, feature parameters, extracted using Wavelet transform for Korean isolated word speech, are used for speech detection and recognition feature. As a result of the speech detection, it is shown that it produces more exact detection result than the method of using energy and zero-crossing rate on speech boundary. Also, as a result of the method with which the feature parameter of MFCC, which is applied to Wavelet packet coefficients using Wavelet packet transform of the generalized form of Wavelet transform, is applied to the recognition, it is shown that the result is equal to the result of the feature parameter of MFCC using FFT in speech recognition. So, it has been verified the usefulness of feature parameters using Wavelet transform for speech analysis and recognition.

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[IEEE Style]

J. H. Lee and S. B. Rhee, "A Study on Korean Isolated Word Speech Detection and Recognition using Wavelet Feature Parameter," The Transactions of the Korea Information Processing Society (1994 ~ 2000), vol. 7, no. 7, pp. 2238-2245, 2000. DOI: 10.3745/KIPSTE.2000.7.7.2238.

[ACM Style]

Jun Hwan Lee and Sang Burm Rhee. 2000. A Study on Korean Isolated Word Speech Detection and Recognition using Wavelet Feature Parameter. The Transactions of the Korea Information Processing Society (1994 ~ 2000), 7, 7, (2000), 2238-2245. DOI: 10.3745/KIPSTE.2000.7.7.2238.

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