On the extraction of the valid speech-sound by the merging algorithm with the discrete wavelet transform

Authors:
Jin Ok Kim;Han Wook Paek;Chin Hyun Chung;Jun Hwang;Woongjae Lee
Affiliations:
School of Information and Communication Engineering, Sungkyunkwan University, Suwon, Kyunggi-do, Korea;Department of Information and Control Engineering, Kwangwoon University, Seoul, Korea;Department of Information and Control Engineering, Kwangwoon University, Seoul, Korea;Division of Information and Communication Engineering, Seoul Women's University, Seoul, Korea;Division of Information and Communication Engineering, Seoul Women's University, Seoul, Korea
Venue:
ICCS'03 Proceedings of the 1st international conference on Computational science: PartI
Year:
2003

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Abstract

A valid speech-sound block can be classified to provide important information for speech recognition. The classification of the speechsound block comes from the MRA(multi-resolution analysis) property of the DWT(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 needs some numerical methods for an adaptive DWT implementation and 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 SNR (signal-to-noise ratio).