Robust speaker recognition based on biologically inspired features

International Journal of Signal and Imaging Systems Engineering ◽

10.1504/ijsise.2020.10036131 ◽

2020 ◽

Vol 12 (1/2) ◽

pp. 19

Author(s):

Mohamed Zarka ◽

Youssef Zouhir ◽

Ines Ben Fredj ◽

Kaïs Ouni

Keyword(s):

Speaker Recognition ◽

Biologically Inspired ◽

Robust Speaker Recognition ◽

Biologically Inspired Features

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Robust speaker recognition based on biologically inspired features

International Journal of Signal and Imaging Systems Engineering ◽

10.1504/ijsise.2020.113559 ◽

2020 ◽

Vol 12 (1/2) ◽

pp. 19

Author(s):

Youssef Zouhir ◽

Ines Ben Fredj ◽

Kaïs Ouni ◽

Mohamed Zarka

Keyword(s):

Speaker Recognition ◽

Biologically Inspired ◽

Robust Speaker Recognition ◽

Biologically Inspired Features

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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 ◽

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On the use of X-vectors for Robust Speaker Recognition

10.21437/odyssey.2018-24 ◽

2018 ◽

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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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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Biologically Inspired Features for Scene Classification in Video Surveillance

IEEE Transactions on Systems Man and Cybernetics Part B (Cybernetics) ◽

10.1109/tsmcb.2009.2037923 ◽

2011 ◽

Vol 41 (1) ◽

pp. 307-313 ◽

Author(s):

Kaiqi Huang ◽

Dacheng Tao ◽

Yuan Yuan ◽

Xuelong Li ◽

Tieniu Tan

Keyword(s):

Video Surveillance ◽

Scene Classification ◽

Biologically Inspired ◽

Biologically Inspired Features

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Nearest neighbor based i-vector normalization for robust speaker recognition under unseen channel conditions

2015 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) ◽

10.1109/icassp.2015.7178859 ◽

2015 ◽

Author(s):

Weizhong Zhu ◽

Seyed Omid Sadjadi ◽

Jason W. Pelecanos

Keyword(s):

Speaker Recognition ◽

Nearest Neighbor ◽

Channel Conditions ◽

Robust Speaker Recognition

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