Paper Info
Title
Cluster-based voice activity detection for mobile devices
Abstract
A voice activity detection in mobile environments is not performed well due to arbitrary noises. In this paper, a robust voice activity detection framework for mobile devices is proposed. The unsupervised clustering and discriminative weight training of each cluster is employed to model various characteristics of arbitrary noises.
Year
DOI
Venue
2016
10.1109/ICCE.2016.7430558
2016 IEEE International Conference on Consumer Electronics (ICCE)
Keywords
Field
DocType
mobile devices,cluster-based voice activity detection,robust voice activity detection framework,unsupervised clustering,discriminative weight training,arbitrary noise
Voice activity detection,Computer science,Robustness (computer science),Speech recognition,Mobile device,Cluster analysis,Discriminative model
Conference
Citations 
PageRank 
References 
0
0.34
3
Authors
4
Name
Order
Citations
PageRank
sangjun park122.43
Seunghyung Lee202.37
Jinuk Park322.74
Minsoo Hahn422346.63