Applying wavelet analysis to speech segmentation and classi cationBeng
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چکیده
We propose the design of a hearing aid device based on the wavelet transform. The fast wavelet transform is used to decompose speech into diierent frequency components. This paper presents the diiculties in the use of wavelet transforms for speech processing, and shows how the careful selection of wavelet coeecients can enable the four major categories of speech-voiced speech, plosives, fricatives and silence to be identiied. With knowledge of these four categories, it is shown how speech can be easily and eeectively segmented.
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تاریخ انتشار 1994