微型机与应用Issue(5)：21-23,3.DOI:10.19358/j.issn.1674-7720.2017.05.007
车载环境下语音端点检测的研究
Research on speech endpoint detection under on-board environment
摘要
Abstract
The endpoint detection is an important part in signal processing.Endpoint detection directly determines the accuracy and speed of the voice recognition.Car environment is a very complex environment,the signal-to-noise ratio of the signal possibility is very low,for the traditional time domain endpoint detection method,in this environment the endpoint detection effect is very poor.The double door limit under the condition of high SNR,endpoint detection effect is very good,the recognition rate is very high,this makes the prompt on-board environment voice SNR is critical.In this paper,the improved wavelet denoising and the improved double threshold algorithm is adopted for endpoint detection.The experimental results show that the integrated method of wavelet denoising and double threshold though there is a certain amount of signal distortion,the distortion in the range of acceptable,and in the case of not increase the computational complexity,the endpoint detection effect is better than traditional double threshold effect,which show the effectiveness of the algorithm in this paper.关键词
车载环境/小波去噪/双门限/端点检测Key words
on-board environment/wavelet denoising/dual-threshold/endpoint dectect分类
信息技术与安全科学引用本文复制引用
张恒,周萍..车载环境下语音端点检测的研究[J].微型机与应用,2017,(5):21-23,3.基金项目
广西研究生教育创新计划资助项目(YCSZ2015152) （YCSZ2015152）
