一种自适应语音端点检测算法  

Self-adaptive algorithm of voice endpoint detection

作　　者：孙战先[1] 储飞黄[1] 王江[1] 

机构地区：[1]解放军电子工程学院,合肥230037

出　　处：《计算机工程与应用》2014年第1期206-210,共5页Computer Engineering and Applications

摘　　要：针对基于短时能量和短时过零率的语音端点检测算法不能自适应环境,在低信噪比时性能较差问题,提出了一种新算法。该算法利用最小短时能量评估环境噪声,优化参数提取算法,提高了参数本身的抗噪能力和自适应能力,再通过参数融合有效平衡了音节之间的差异,放大了语音与噪声之间的差异,最后通过一个动态检测门限,实现了不同信噪比下的端点检测。In view of the question that the method of voice endpoint detection based on short-time energy and zero-crossing-rate can’t adapt to different environments especially the low-SNR condition, this paper presents a new algorithm by evaluating the environment noise with the minimum short-time energy. Then by fusing the two optimized characteristic parameters together compensate each other’s drawback, the final parameter is able to narrow the spread among voice and enlarge the difference between voice and noise. Finally, a dynamic threshold is employed for environment adaptation.

关 键 词：语音活动检测(端点检测) 自适应 噪声评估 特征融合 VOICE Activity Detection(VAD) 

分 类 号：TN912.3[电子电信—通信与信息系统]