摘要
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.
| 原文 | English |
|---|---|
| 文章編號 | 4811764 |
| 頁（從 - 到） | 3057-3061 |
| 頁數 | 5 |
| 期刊 | Conference Proceedings - IEEE International Conference on Systems, Man and Cybernetics |
| DOIs | |
| 出版狀態 | Published - 2008 十二月 1 |
| 事件 | 2008 IEEE International Conference on Systems, Man and Cybernetics, SMC 2008 - Singapore, Singapore 持續時間: 2008 十月 12 → 2008 十月 15 |
All Science Journal Classification (ASJC) codes
- Electrical and Electronic Engineering
- Control and Systems Engineering
- Human-Computer Interaction
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Chuang, F. C., Wang, J-S., & Wu, L. Y. (2008). Single-channel speech enhancement: Using recurrent neuro-fuzzy voice activity detector and spectral subtraction algorithms. Conference Proceedings - IEEE International Conference on Systems, Man and Cybernetics, 3057-3061. [4811764]. https://doi.org/10.1109/ICSMC.2008.4811764