Wavelet denoising of speech using neural networks for threshold selection
C.A. Medina, Abraham Alcaim, José A. Apolinário · Electronics Letters · 2003
A new wavelet-based denoising scheme for speech enhancement applications is proposed. The new approach uses a neural network to estimate the threshold to be applied to the detail coefficients after wavelet decomposition. The proposed method is compared to classical wavelet-based denoising techniques in the presence of additive white Gaussian noise. Results are presented in terms of SNR gain as well as error rate performance in a speaker verification system. Especially in terms of SNR improvement, the proposed scheme has outperformed other wavelet-based speech enhancement techniques.