Integrated feature normalization and enhancement for robust speaker recognition using acoustic factor analysis

Mapping Intimacies ◽

10.21437/interspeech.2012-338 ◽

2012 ◽

Author(s):

Taufiq Hasan ◽

John H. L. Hansen

Keyword(s):

Factor Analysis ◽

Speaker Recognition ◽

Robust Speaker Recognition ◽

Feature Normalization

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A robust speaker recognition system combining factor analysis techniques

2014 21th Iranian Conference on Biomedical Engineering (ICBME) ◽

10.1109/icbme.2014.7043948 ◽

2014 ◽

Author(s):

Shaghayegh Reza ◽

Tahereh Emami Azadi ◽

Jahanshah Kabudian ◽

Yaser Shekofteh

Keyword(s):

Factor Analysis ◽

Speaker Recognition ◽

Recognition System ◽

Analysis Techniques ◽

Robust Speaker Recognition

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Uncertainty propagation in front end factor analysis for noise robust speaker recognition

2014 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) ◽

10.1109/icassp.2014.6854356 ◽

2014 ◽

Cited By ~ 15

Author(s):

Chengzhu Yu ◽

Gang Liu ◽

Seongjun Hahm ◽

John H. L. Hansen

Keyword(s):

Factor Analysis ◽

Speaker Recognition ◽

Uncertainty Propagation ◽

Front End ◽

Robust Speaker Recognition ◽

Noise Robust ◽

Noise Robust Speaker Recognition

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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 ◽

Voice Activity Detection ◽

Activity Detection ◽

Robust Speaker Recognition ◽

Level Building ◽

Voice Activity

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On the use of X-vectors for Robust Speaker Recognition

10.21437/odyssey.2018-24 ◽

2018 ◽

Cited By ~ 7

Author(s):

Ondřej Novotný ◽

Oldřich Plchot ◽

Pavel Matějka ◽

Ladislav Mošner ◽

Ondřej Glembek

Keyword(s):

Speaker Recognition ◽

Robust Speaker Recognition

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Duration weighted Gaussian Mixture Model supervector modeling for robust speaker recognition

2013 Ninth International Conference on Natural Computation (ICNC) ◽

10.1109/icnc.2013.6817977 ◽

2013 ◽

Author(s):

Zhe Ji ◽

Wei Hou ◽

Xin Jin ◽

Zhi-Yi Li

Keyword(s):

Gaussian Mixture Model ◽

Mixture Model ◽

Speaker Recognition ◽

Gaussian Mixture ◽

Robust Speaker Recognition

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Comparison of scoring methods used in speaker recognition with Joint Factor Analysis

2009 IEEE International Conference on Acoustics, Speech and Signal Processing ◽

10.1109/icassp.2009.4960519 ◽

2009 ◽

Cited By ~ 42

Author(s):

Ondrej Glembek ◽

Lukas Burget ◽

Najim Dehak ◽

Niko Brummer ◽

Patrick Kenny

Keyword(s):

Factor Analysis ◽

Speaker Recognition ◽

Scoring Methods ◽

Joint Factor ◽

Joint Factor Analysis

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Mean hilbert envelope coefficients (MHEC) for robust speaker recognition

10.21437/interspeech.2012-464 ◽

2012 ◽

Author(s):

Seyed Omid Sadjadi ◽

Taufiq Hasan ◽

John H. L. Hansen

Keyword(s):

Speaker Recognition ◽

Robust Speaker Recognition ◽

Hilbert Envelope

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A fast approach to psychoacoustic model compensation for robust speaker recognition in additive noise

10.21437/interspeech.2015-85 ◽

2015 ◽

Author(s):

Ashish Panda

Keyword(s):

Speaker Recognition ◽

Additive Noise ◽

Psychoacoustic Model ◽

Fast Approach ◽

Robust Speaker Recognition

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The predictive differential amplitude spectrum for robust speaker recognition in stationary noises

10.21437/interspeech.2005-667 ◽

2005 ◽

Author(s):

Jing Deng ◽

Thomas Fang Zheng ◽

Jian Liu ◽

Wenhu Wu

Keyword(s):

Speaker Recognition ◽

Amplitude Spectrum ◽

Robust Speaker Recognition

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Using predictive differential power spectrum and subband mel-spectrum centroid for robust speaker recognition in stationary noises

2005 International Conference on Machine Learning and Cybernetics ◽

10.1109/icmlc.2005.1527796 ◽

2005 ◽

Author(s):

Jing Deng ◽

Thomas Fang Zheng ◽

Zhan-Jiang Song ◽

Jian Liu ◽

Wen-Hu Wu

Keyword(s):

Power Spectrum ◽

Speaker Recognition ◽

Robust Speaker Recognition

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