Single-channel speech enhancement: Using recurrent neuro-fuzzy voice activity detector and spectral subtraction algorithms

Fang Chen Chuang, Jeen-Shing Wang, Li Ying Wu

研究成果: Conference article

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 122008 十月 15

All Science Journal Classification (ASJC) codes

  • Electrical and Electronic Engineering
  • Control and Systems Engineering
  • Human-Computer Interaction

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