This paper investigates the effectiveness of a single-channel speech enhancement system that contains spectral subtraction and voice activity detection algorithm for noise elimination. We first extract features from a noisy signal and use these features as the inputs of a recurrent neuro-fuzzy network for detecting the voice activities of the signal. Based on the detection, we describe the characteristics of the background noise of the speech segments by a minimum frequency energy (MFE) parameter and then apply spectral subtraction algorithms with the parameter to eliminate the noise. Our simulation results show that the proposed enhancement system with a nonlinear spectral subtraction algorithm has superior performance.
|頁（從 - 到）||3057-3061|
|期刊||Conference Proceedings - IEEE International Conference on Systems, Man and Cybernetics|
|出版狀態||Published - 2008|
|事件||2008 IEEE International Conference on Systems, Man and Cybernetics, SMC 2008 - Singapore, Singapore|
持續時間: 2008 10月 12 → 2008 10月 15
All Science Journal Classification (ASJC) codes