摘要
为了提高语音激活检测在汽车内部噪声环境下的检测性能,提出了一种基于分带谱熵的语音激活检测算法。将实验仿真结果与ITU标准G.729B中的检测性能进行了分析比较,结果表明,该算法在汽车内部噪声环境下具有较高的准确率和稳定性,且算法的复杂度较低,具有一定的实用价值。
In order to improve the performance of voice activity detection under car interior noise environments,a new voice activity detection algorithm based on the band-partitioning spectral entropy was presented. The performance of the algorithm was compared with the voice activity detection algorithm in standard G.729 annex B of ITU in experimental simulation. Experimental results show that the algorithm has high classification accuracy and stability,moreover,this algorithm has low complexity and applied value.
出处
《微型机与应用》
2010年第20期43-45,48,共4页
Microcomputer & Its Applications
关键词
语音激活检测
分带谱熵
汽车内部噪声
voice activity detection
band-partitioning spectral entropy
car interior noise
