摘要
语音端点检测是语音识别过程中的重要的一个环节,为了提高在强背景噪声条件下语音端点检测的性能,提出了一种将维纳滤波和改进的多子带熵相结合的方法.不仅有效地减少了背景噪声,而且大大提高了语音端点检测的准确性和稳健性.仿真实验表明,该方法计算简单,可靠信高,在较低的信噪比下仍能比较准确的检测到语音信号的端点.
Speech endpoint was an important ,segment in the speech preprocess. To improve the robustness of the vad, we proposed the logarithm that combines the weinner filter with the multi - band entropy. This algorithm not only reduces the background noise, but also improves the precision and robustness of the endpoint detection algorithm. The simulation experiment demonstrate that the algorithm is simply and reliable. It has a good performance even in low SNR environments
出处
《微电子学与计算机》
CSCD
北大核心
2008年第5期146-149,共4页
Microelectronics & Computer
基金
湖南省自然科学基金项目(03JJY3012)
关键词
端点检测
维纳滤波
熵
voice endpoint detection
Weiner filter
entropy
