关键词: 端点检测, 最小统计, 噪声估计, 谱相减

Abstract: This paper compares and analyzes two types of noise estimate algorithms which based on traditional endpoint detection and based on minimum statistics and optimal smoothing，then applies them to spectral subtraction algorithm.Spectral subtraction based on minimum statistics is more effective for enhancement non-stationary noise，but it has“music noise”problem.A modified method is proposed to resolve this problem.Simulation results show that this method enhances the Signal to Noise Ratio（SNR） and improves the speech quality.

Key words: endpoint detection, minimum statistics, noise estimate, spectral subtraction