西安电子科技大学学报（自然科学版）Issue(5)：115-119,5.DOI:10.3969/j.issn.1001-2400.2015.05.020
一种鲁棒自适应阈值的语音端点检测方法
Robust adaptive threshold speech endpoint detection method
摘要
Abstract
Due to the fact that traditional Speech Endpoint Detection methods'performance degrads greatly in a low signal‐to‐noise ratio and nonstationary noise , a novel robust adatpive threshold endpoint detection method is proposed . First of all , the LSFM parameter is employed as the distinctive feature and the Burg spectrum estimation is applied to figure out the power spectrum , which can enhance the discriminative ability in classifying speech signals and noise , compared with the traditional speech features . Furthermore , an adaptive threshold based on the Bayes estimation criterion is involved in the final judgment , which overcomes the defect of the fixed threshold in adaptability and improves the detection performance to a greater degree . Simulation results show that compared with the traditional feature‐based Speech Endpoint Detection methods , the accuracy of the proposed method has a high accuracy rate , which proves that the new method has a better robust performance in a low SNR and nonstationary noise .关键词
低信噪比/非平稳噪声/语音端点检测/长时段信号谱平坦度/Burg谱估计Key words
low signal-to-noise ratio/nonstationary noise/speech endpoint detection/long-term spectral flatness measure/Burg spectrum estimation分类
信息技术与安全科学引用本文复制引用
张君昌,张丹,崔力..一种鲁棒自适应阈值的语音端点检测方法[J].西安电子科技大学学报（自然科学版）,2015,(5):115-119,5.基金项目
陕西省自然科学基金资助项目 （）
