Speech enhancement by adaptive noise cancellation in the wavelet domain

76 p.In many signal processing applications, speech has to be processed in the presence of undesirable background noise like Gaussian noise, colored noise, multi-talker babble noise, car interior noise and so on. Various methods have been applied for the suppression of ambient noise while minimizing the extent of speech distortion. Adaptive filtering has been used for speech denoising in the time domain. During the last few decades, wavelet transform has been developed for speech enhancement. In this project we are proposing to use adaptive filtering in the wavelet domain. Experimental results demonstrate that the suggested approach is computational efficient and has a good performance.Master of Science (Signal Processing