【摘要】 端点检测是语音信号处理过程中非常重要的一步,它的准确性直接影响语音信号处理的速度和结果,因此端点检测方法的研究,特别是在噪声环境下端点检测的研究,一直是语音信号处理中的热点。从基于时域参数、频域参数、时频参数、模型匹配等方法的角度,较全面地回顾了端点检测方法的发展历程,对各种方法的优缺点进行了比较分析,并给出了这些方法的改进意见,对端点检测未来的研究方向进行了展望。更多还原

【Abstract】 Endpoint detection,whose accuracy directly affects the speed and the results,is a very important step for speech signals processing.The research of endpoint detection algorithm is a hotspot of speech signals processing,especially in adverse environment.This paper introduced different methods based on time domain,frequency domain,time-frequency domain parameters and model matching algorithms.Meanwhile,it analyzed the advantages,drawbacks and improvements of those algorithms.It also discussed the prospects of endpoint detection.更多还原