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Simple Search
Hits 1 – 11 of 11
1
Short text authorship attribution via sequence kernels, Markov chains and author unmasking: An investigation
Sanderson, Conrad
;
Guenter, Simon
In: Proceedings of the 2006 Conference on Empirical Methods in Natural Language Processing ; http://acl.ldc.upenn.edu/W/W06/#W06-1600 (2015)
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2
Short text authorship attribution via sequence kernels, Markov chains and author unmasking: An investigation
Guenter, Simon
;
Sanderson, Conrad
In: Proceedings of the 2006 Conference on Empirical Methods in Natural Language Processing ; http://acl.ldc.upenn.edu/W/W06/#W06-1600 (2015)
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3
Summarisation of surveillance videos by key-frame selection
Yang, Yan
;
Dadgostar, Farhad
;
Sanderson, Conrad
. - : IEEE, 2011
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4
Patch-based probabilistic image quality assessment for face selection and improved video-based face recognition
Wong, Yongkang
;
Chen, Shaokang
;
Mau, Sandra
. - : IEEE, 2011
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5
Biometric person recognition : Face, speech and fusion
Sanderson, Conrad
. - : VDM-Verlag, 2008
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6
Speech Processing & Text-Independent Automatic Person Verification
Sanderson, Conrad
In: http://infoscience.epfl.ch/record/82810 (2006)
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7
An Investigation of Spectral Subband Centroids for Speaker Authentication
Poh, Norman
;
Sanderson, Conrad
;
Bengio, Samy
In: http://infoscience.epfl.ch/record/82970 (2006)
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8
An Investigation of Spectral Subband Centroids for Speaker Authentication
Poh, Norman
;
Sanderson, Conrad
;
Bengio, Samy
In: http://infoscience.epfl.ch/record/83091 (2006)
Abstract:
Most conventional features used in speaker authentication are based on estimation of spectral envelopes in one way or another, in the form of cepstrums, e.g., Mel-scale Filterbank Cepstrum Coefficients (MFCCs), Linear-scale Filterbank Cepstrum Coefficients (LFCCs) and Relative Spectral Perceptual Linear Prediction (RASTA-PLP). In this study, Spectral Subband Centroids (SSCs) are examined. These features are the centroid frequency in each subband. They have properties similar to the formant frequency but are limited to a given subband. Preliminary empirical findings, on a subset of the XM2VTS database, using Analysis of Variance and Linear Discriminant Analysis suggest that, firstly, a certain number of centroids (up to about 16) are necessary to cover enough information about the speaker's identity; and secondly, that SSCs could provide complementary information to the conventional MFCCs. Theoretical findings suggest that mean-subtracted SSCs are more robust to additive noise. Further empirical experiments carried out on the more realistic NIST2001 database using SSCs, MFCCs (respectively LFCCs) and their combinations by concatenation suggest that SSCs are indeed robust and complementary features to conventional MFCC (respectively LFCCs) features often used in speaker authentication.
URL:
http://infoscience.epfl.ch/record/83091/files/norman-2004-icba.pdf
http://publications.idiap.ch/index.php/publications/showcite/poh_03_sscs:rr-03-62
http://publications.idiap.ch/downloads/reports/2004/norman-2004-icba.pdf
http://infoscience.epfl.ch/record/83091
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9
Short text authorship attribution via sequence kernels, Markov chains and author unmasking: An investigation
Sanderson, Conrad
;
Guenter, Simon
. - : Association for Computational Linguistics (ACL), 2006
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10
Automatic Person Verification Using Speech and Face Information
Sanderson, Conrad
. - : Griffith University, School of Microelectronic Engineering, 2003
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11
Information fusion for robust speaker verification
Sanderson, Conrad
;
Paliwal, Kuldip K.
. - : International Speech Communication Association, 2001
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