@inproceedings{76b2c816361c4c139181f8d302d4136e,
title = "A Voice Activity Detection Method Based on DWT-MVNPDF",
abstract = "The purpose of voice activity detection (VAD) is to classify voice and noise in an audio file. According to the fact that the spectral distribution of voice and noise segments in an audio file is different, a new VAD method is proposed. First, three-layer wavelet decomposition is executed to extract the multi-resolution spectrum of the audio signal. Then, the multivariate normal probability density function (MVNPDF) is calculated for each level of wavelet transform coefficients in the multi-resolution spectrum to obtain the feature -DWT-MVNPDF. Finally, based on the DWT-MVNPDF feature, dual-threshold method is used for VAD. The experiment results show that the proposed method is superior to the energy entropy ratio method (EER) and other algorithms at different SNR environments.",
keywords = "accuracy, noise, voice, voice activity detection",
author = "Chen Li and Feiyang Wang and Lihua Tian and Hui Song and Xuebo Meng",
note = "Publisher Copyright: {\textcopyright} 2018 IEEE.; 7th International Conference on Control, Automation and Information Sciences, ICCAIS 2018 ; Conference date: 24-10-2018 Through 27-10-2018",
year = "2018",
month = dec,
day = "7",
doi = "10.1109/ICCAIS.2018.8570576",
language = "英语",
series = "ICCAIS 2018 - 7th International Conference on Control, Automation and Information Sciences",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "17--21",
booktitle = "ICCAIS 2018 - 7th International Conference on Control, Automation and Information Sciences",
}