@inproceedings{4a2cbb85af59463c8d2927cfc992f5e9,
title = "Voice activity detection based on statistical likelihood ratio with adaptive thresholding",
abstract = "Statistical likelihood ratio test is a widely used voice activity detection (VAD) method, in which the likelihood ratio of the current temporal frame is compared with a threshold. A fixed threshold is always used, but this is not suitable for various types of noise. In this paper, an adaptive threshold is proposed as a function of the local statistics of the likelihood ratio. This threshold represents the upper bound of the likelihood ratio for the non-speech frames, whereas it remains generally lower than the likelihood ratio for the speech frames. As a result, a high non-speech hit rate can be achieved, while maintaining speech hit rate as large as possible.",
keywords = "Adaptive threshold, High non-speech hit rate, Likelihood ratio test, Voice activity detection",
author = "Xiaofei Li and Radu Horaud and Laurent Girin and Sharon Gannot",
note = "Publisher Copyright: {\textcopyright} 2016 IEEE.; 15th International Workshop on Acoustic Signal Enhancement, IWAENC 2016 ; Conference date: 13-09-2016 Through 16-09-2016",
year = "2016",
month = oct,
day = "19",
doi = "https://doi.org/10.1109/IWAENC.2016.7602911",
language = "الإنجليزيّة",
series = "2016 International Workshop on Acoustic Signal Enhancement, IWAENC 2016",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
booktitle = "2016 International Workshop on Acoustic Signal Enhancement, IWAENC 2016",
address = "الولايات المتّحدة",
}