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[Many methods which are used for speech detection usually fail when signal-to-noise ratio (SNR) is low. The wavelet analysis has properties which can help in separating speech from noise. Many works report a better detection performance using wavelet analysis than other techniques.]
[Perfect reconstruction of wavelet filter banks helps in retrieving a hidden signal. In wavelet domain different techniques are applied on the wavelet coefficients to increase the hiding capacity and perceptual transparency. In general, steganography in wavelet domain shows high hiding capacity...
[WT coefficients for normal voiced signal have remarkable differences compared to pathological ones. Accordingly, WT is successfully used as a noninvasive method to diagnose vocal pathologies.]
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