HiVAD : A Voice Activity Detection Application Based on Deep Learning

Activity Detection ◽

Advances in Intelligent Systems and Computing - Cyber Security Intelligence and Analytics ◽

Deep Learning Approaches for Voice Activity Detection

10.1007/978-3-030-15235-2_110 ◽

2019 ◽

pp. 816-826 ◽

Cited By ~ 1

Author(s):

Mantao Wang ◽

Qiang Huang ◽

Jie Zhang ◽

Zhiyong Li ◽

Haibo Pu ◽

...

Keyword(s):

Deep Learning ◽

Learning Approaches ◽

Activity Detection ◽

ICASSP 2019 - 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) ◽

AUC Optimization for Deep Learning Based Voice Activity Detection

10.1109/icassp.2019.8682803 ◽

2019 ◽

Cited By ~ 2

Author(s):

Zi-Chen Fan ◽

Zhongxin Bai ◽

Xiao-Lei Zhang ◽

Susanto Rahardja ◽

Jingdong Chen

Keyword(s):

Deep Learning ◽

Activity Detection ◽

Auc Optimization ◽

Voice activity detection method based on inter-frame correlation

Journal of Computer Applications ◽

10.3724/sp.j.1087.2011.01447 ◽

2011 ◽

Vol 31 (5) ◽

pp. 1447-1449

Author(s):

Yu LI ◽

Lei-yong GUO ◽

Hong-zhou TAN

Keyword(s):

Detection Method ◽

Activity Detection ◽

Voice Activity ◽

Inter Frame

Robust speaker recognition based on level-building voice activity detection

JOURNAL OF SHENZHEN UNIVERSITY SCIENCE AND ENGINEERING ◽

10.3724/sp.j.1249.2012.04328 ◽

2012 ◽

Vol 29 (4) ◽

pp. 328-334

Author(s):

Yan-lu XIE ◽

Jing-song ZHANG ◽

Ming-hui LIU ◽

Zhong-wei HUANG

Keyword(s):

Speaker Recognition ◽

Activity Detection ◽

Robust Speaker Recognition ◽

Level Building ◽

Joint Learning Using Denoising Variational Autoencoders for Voice Activity Detection

10.21437/interspeech.2018-1151 ◽

2018 ◽

Cited By ~ 9

Author(s):

Youngmoon Jung ◽

Younggwan Kim ◽

Yeunju Choi ◽

Hoirin Kim

Keyword(s):

Activity Detection ◽

Joint Learning ◽

Optimizing Voice Activity Detection for Noisy Conditions

10.21437/interspeech.2019-1776 ◽

2019 ◽

Author(s):

Ruixi Lin ◽

Charles Costello ◽

Charles Jankowski ◽

Vishwas Mruthyunjaya

Keyword(s):

Activity Detection ◽

Noisy Conditions ◽

Linear detector and neural networks in cascade for voice activity detection in hearing aids

Applied Acoustics ◽

10.1016/j.apacoust.2020.107832 ◽

2021 ◽

Vol 175 ◽

pp. 107832

Author(s):

Joaquín García-Gómez ◽

Roberto Gil-Pita ◽

Miguel Aguilar-Ortega ◽

Manuel Utrilla-Manso ◽

Manuel Rosa-Zurera ◽

...

Keyword(s):

Neural Networks ◽

Hearing Aids ◽

Activity Detection ◽

Linear Detector ◽

SPCp1-01: Voice Activity Detection for VoIP-An Information Theoretic Approach

IEEE Globecom 2006 ◽

10.1109/glocom.2006.603 ◽

2006 ◽

Cited By ~ 8

Author(s):

R. V. Prasad ◽

R. Muralishankar ◽

S. Vijay ◽

H. N. Shankar ◽

Przemyslaw Pawelczak ◽

...

Keyword(s):

Theoretic Approach ◽

Activity Detection ◽

Information Theoretic ◽

Information Theoretic Approach ◽

2014 IEEE 28th Convention of Electrical & Electronics Engineers in Israel (IEEEI) ◽

Voice activity detection in presence of transient noise using spectral clustering and diffusion kernels

10.1109/eeei.2014.7005743 ◽

2014 ◽

Cited By ~ 2

Author(s):

Oren Rosen ◽

Saman Mousazadeh ◽

Israel Cohen

Keyword(s):

Spectral Clustering ◽

Activity Detection ◽

Voice Activity ◽

And Diffusion

ICSP '98. 1998 Fourth International Conference on Signal Processing (Cat. No.98TH8344) ◽

Voice activity detection in nonstationary Gaussian noise

10.1109/icosp.1998.770938 ◽

2002 ◽

Cited By ~ 3

Author(s):

S.G. Tanyer ◽

H. Ozer

Keyword(s):

Gaussian Noise ◽

Activity Detection ◽