Dual-Microphone Voice Activity Detection Technique Based on Two-Step Power Level Difference Ratio

Detection Technique ◽

Activity Detection ◽

Level Difference ◽

Intelligent Computing Techniques for Smart Energy Systems - Lecture Notes in Electrical Engineering ◽

Comparative Analysis of Speaker Recognition System Based on Voice Activity Detection Technique, MFCC and PLP Features

10.1007/978-981-15-0214-9_82 ◽

2019 ◽

pp. 781-787 ◽

Cited By ~ 2

Author(s):

Akanksha Kalia ◽

Shikar Sharma ◽

Saurabh Kumar Pandey ◽

Vinay Kumar Jadoun ◽

Madhulika Das

Keyword(s):

Comparative Analysis ◽

Speaker Recognition ◽

Recognition System ◽

Detection Technique ◽

Activity Detection ◽

2016 IEEE Students' Conference on Electrical, Electronics and Computer Science (SCEECS) ◽

A robust voice activity detection technique based on combined framework of lacunarity and empirical mode decomposition

10.1109/sceecs.2016.7509277 ◽

2016 ◽

Author(s):

Ishan Saxena ◽

Ashok Mondal

Keyword(s):

Empirical Mode Decomposition ◽

Detection Technique ◽

Activity Detection ◽

Mode Decomposition ◽

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 ◽