Enhanced human-computer speech interface using wavelet computing

In this paper, we design an enhanced human-computer speech interface by wavelet transform. By using a new thresholding algorithm and shrink function, we improve the efficiency of the speech interface. This shrink function tries to decrease sharp time-frequency spectrogram discontinuities by attenuating the wavelet coefficients instead of setting them to zero. This attenuation will be done regarding to the wavelet coefficients distance from the threshold. By applying a lot of tests we evaluated our system for three different languages. The results confirmed the improvement in performances and achievements of our system.