Paper Info
Title
rVAD: An Unsupervised Segment-Based Robust Voice Activity Detection Method.
Abstract
•Proposed an unsupervised segment-based method for robust voice activity detection.•Proposed modified rVAD that uses computationally fast spectral flatness calculation.•Evaluated rVAD in terms of VAD performance using RATS and Aurora-2 databases.•Evaluated rVAD in terms of speaker verification performance using RedDots 2016.•rVAD showed favorable performance on various difficult tasks over existing methods.
Year
DOI
Venue
2020
10.1016/j.csl.2019.06.005
Computer Speech & Language
Keywords
DocType
Volume
a posteriori SNR,Energy,Pitch detection,Spectral flatness,Speech enhancement,Voice activity detection,Speaker verification
Journal
59
ISSN
Citations 
PageRank 
0885-2308
4
0.49
References 
Authors
0
3
Name
Order
Citations
PageRank
Zheng-Hua Tan145760.32
Achintya Kumar Sarkar2237.81
N. Dehak3126992.64