摘要
根据语音的特点 ,以一阶马可夫过程统计模型对语音进行建模 ,并在此基础上对语音的激活检测进行了性能分析。在方案的实现过程中 ,采用了多种平滑因子 ,进一步改进了语音判决的正确性。与通常所用的检测方法相比 。
In term of the voice characters, a voice activity detection(VAD)method based on a first-order Markov process is proposed in this paper and its performance is evaluated. The developed VAD employs kinds of smoothing factors so as to alleviate the detection errors at the offset and onset regions of voice. Objective test results show that the proposed scheme is useful to improve consideraby the performance of the VAD.
出处
《解放军理工大学学报(自然科学版)》
EI
2003年第1期7-10,共4页
Journal of PLA University of Science and Technology(Natural Science Edition)