关键词: 端点检测, 谱减法, 自适应子带谱熵

Abstract: In order to improve the robustness of speech endpoint detection in low SNR environments，an improved speech endpoint detection method based on spectral subtraction and adaptive multi-band spectral entropy is proposed.In this method，the additive noise is removed using spectral subtraction at first，and background noise estimate value is updated timely，then improved adaptive multi-band spectral entropy is used to detect the endpoints for the enhanced speech.Experimental results indicate that the proposed method possesses good detection performance.Compared with the traditional method，this method improves the endpoint detection accuracy，and good detection capability in low SNR environments.

Key words: endpoint detection, spectral subtraction, adaptive multi-band spectral entropy