A Study on Extracting Valid Speech Sounds by the Discrete Wavelet Transform


The KIPS Transactions:PartB , Vol. 9, No. 2, pp. 231-236, Apr. 2002
10.3745/KIPSTB.2002.9.2.231,   PDF Download:

Abstract

The classification of the speech-sound block comes from the multi-resolution analysis property of the discrete wavelet transform, which is used to reduce the computational time for the pre-processing of speech recognition. The merging algorithm is proposed to extract valid speech-sounds in terms of position and frequency range. It performs unvoiced/voiced classification and denoising. Since the merging algorithm can decide the processing parameters relating to voices only and is independent of system noises, it is useful for extracting valid speech-sounds. The merging algorithm has an adaptive feature for arbitrary system noises and an excellent denoising signal-to-noise ratio and a useful system tuning for the system implementation.


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Cite this article
[IEEE Style]
J. O. Kim, D. J. Hwang, H. W. Baek, C. H. Chung, "A Study on Extracting Valid Speech Sounds by the Discrete Wavelet Transform," The KIPS Transactions:PartB , vol. 9, no. 2, pp. 231-236, 2002. DOI: 10.3745/KIPSTB.2002.9.2.231.

[ACM Style]
Jin Ok Kim, Dae Joon Hwang, Han Wook Baek, and Chin Hyun Chung. 2002. A Study on Extracting Valid Speech Sounds by the Discrete Wavelet Transform. The KIPS Transactions:PartB , 9, 2, (2002), 231-236. DOI: 10.3745/KIPSTB.2002.9.2.231.