|
|
|
| Blind Separation of Noisy Speech Mixtures Based on Wavelet
Transform and Independent Component Analysis |
| Zhao Cai-hua; Liu Ju; Sun Jian-de; Yan Hua |
| School of Information Science and Engineering, Shandong University, Jinan 250100, China |
|
|
|
|
Abstract A vital issue in speech processing is to extract source speeches from noisy mixtures. A method is presented based on wavelet transform and independent component analysis in this paper. Firstly, de-noise the noisy mixtures with discrete wavelet transform. Secondly, get them separated by independent component analysis. Finally, do the post-processing to the separated signals, then the estimated source speeches are got. Simulation results exhibit a high level of separating performance.
|
|
Received: 13 December 2004
|
|
|
|
|
|
|
|
|
2006, Vol. 28 
