Interspeech'2005 - Eurospeech
In this paper, we present a node dependent wavelet thresholding approach in order to remove strongly coloured noises from speech signals. The noise power in each node is first estimated using a recursive method. Given the voiced or unvoiced nature of the frame, the signal is expanded onto a predefined best basis. Then a infinitely smooth soft threshold is applied depending on each node of the decomposition tree. Finally the estimated clean signal is reconstructed. Experimental results on a Japanese database, for various coloured noises, demonstrate the effectiveness of the proposed method, even at low SNR. Compared with the common level dependent method, this algorithm provides better denoising results.
Bibliographic reference. Braquet, Vladimir / Kobayashi, Takao (2005): "A wavelet based noise reduction algorithm for speech signal corrupted by coloured noise", In INTERSPEECH-2005, 2073-2076.