计算机技术与发展2016，Vol.26Issue(9)：26-29,4.DOI:10.3969/j.issn.1673-629X.2016.09.006
一种自适应建模的VAD方法
An Voice Activity Detection of Adaptive Modeling
摘要
Abstract
Voice Activity Detection ( VAD) is an important part of speech front-end features processing which directly affects the effec-tiveness and efficiency of subsequent processing. Because of over-dependence on training data,the model VAD must train different model in different scenarios that will bring many tasks of data labeling. A VAD method of adaptive modeling,which combines with the advanta-ges of energy VAD and model VAD,solves the problem successfully. It trains speech model and non-speech model online to each voice and labels each frame according to the likelihood score of different model,then the endpoint of voice can be get. The experiments show thatthis method has achieved a good result. It makes the F1 parameters increased 0. 031 and error rate of speaker separation decreased by 0. 45% compared with the traditional energy VAD.关键词
语音活动检测/能量VAD/模型VAD/自适应建模Key words
voice activity detection/energy VAD/model VAD/adaptive modeling分类
信息技术与安全科学引用本文复制引用
腾潇琦,冯祥,张翼飞..一种自适应建模的VAD方法[J].计算机技术与发展,2016,26(9):26-29,4.基金项目
北京市科技计划项目(Z141100006014002) （Z141100006014002）
