AN IMPROVED METHOD FOR ROBUST SPEECH ENDPOINT DETECTION

被引：4
|
作者：
Long, Hai-Nan [1 ]
Zhang, Cui-Gai [1 ]
机构：
[1] Hebei Univ, Coll Elect & Informat Engn, Baoding 071002, Peoples R China
来源：
PROCEEDINGS OF 2009 INTERNATIONAL CONFERENCE ON MACHINE LEARNING AND CYBERNETICS, VOLS 1-6 | 2009年
关键词：
Speech endpoint detection; Adaptive filter; Adaptive band-partitioning spectral entropy; Robustness;
D O I：
10.1109/ICMLC.2009.5212154
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
An improved method based on adaptive band-partitioning spectral entropy for robust speech endpoint detection is provided. Adaptive band-partitioning spectral entropy which is extended from the spectral entropy is a new method for improving the robustness of speech endpoint detection. Although it has good robustness, the accuracy also degrades when the signal-to-noise ratios (SNRs) are low. Therefore, an improved solution is proposed in this paper.lt utilizes adaptive filter to boost up the SNRs. The implementation procedure is given in detail. It is shown that the new algorithm can operate effectively under changeable SNRs.
引用
收藏
页码：2067 / 2071
页数：5
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