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NIST Speech Group
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Applying SVMs and weight-based factor analysis to unsupervised adaptation for speaker verification
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print
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M. McLaren, D. Matrouf, R. Vogt, and J .F. Bonastre, “Applying SVMs and weight-based factor analysis to unsupervised adaptation for speaker verification,” In print, Computer Speech & Language, 2010.
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Computer Speech & Language
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McLaren, M.1
Matrouf, D.2
Vogt, R.3
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3
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Within-session variability modelling for factor analysis speaker verification
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R. Vogt, J. Pelecanos, N. Scheffer, S. Kajarekar, and S. Sridharan, “Within-Session Variability Modelling for Factor Analysis Speaker Verification,” in Proc. Interspeech, 2009, pp. 1563-1566.
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Vogt, R.1
Pelecanos, J.2
Scheffer, N.3
Kajarekar, S.4
Sridharan, S.5
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5
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33947670488
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A comparison of various adaptation methods for speaker verification with limited enrollment data
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M.W. Mak, R. Hsiao, and B. Mak, “A comparison of various adaptation methods for speaker verification with limited enrollment data,” in Proc. IEEE International Conference on Acoustics, Speech and Signal Processing, 2006, pp. 929-932.
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Proc. IEEE International Conference on Acoustics, Speech and Signal Processing
, pp. 929-932
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Mak, M.W.1
Hsiao, R.2
Mak, B.3
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6
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Support vector machines using GMM supervectors for speaker verification
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May
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W.M. Campbell, D.E. Sturim, and D.A. Reynolds, “Support vector machines using GMM supervectors for speaker verification,” IEEE Signal Processing Letters, vol. 13, no. 5, pp. 308-311, May 2006.
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IEEE Signal Processing Letters
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Advances in channel compensation for SVM speaker recognition
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March
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A. Solomonoff, W.M. Campbell, and I. Boardman, “Advances in channel compensation for SVM speaker recognition,” in Proc. IEEE International Conference on Acoustics, Speech and Signal Processing, March 2005, vol. 1, pp. 629-632.
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Solomonoff, A.1
Campbell, W.M.2
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8
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Within-class covariance normalization for SVM-based speaker recognition
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Ninth International Conference on Spoken Language Processing
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Hatch, A.O.1
Kajarekar, S.2
Stolcke, A.3
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9
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Scatter difference nap for SVM speaker recognition
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Springer
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B. Baker, R. Vogt, M. McLaren, and S. Sridharan, “Scatter Difference NAP for SVM Speaker Recognition,” in Proc. International Conference on Biometrics. 2009, pp. 464-473, Springer.
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Proc. International Conference on Biometrics
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Baker, B.1
Vogt, R.2
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Sridharan, S.4
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10
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QUT speaker identity verification system for EVALITA 2009
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M. McLaren, R. Vogt, B. Baker, and S. Sridharan, “QUT speaker identity verification system for EVALITA 2009,” in Submitted to Proc. International Conference on Information Sciences and Signal Processing and their Applications (ISSPA), 2010.
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Submitted to Proc. International Conference on Information Sciences and Signal Processing and Their Applications (ISSPA)
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McLaren, M.1
Vogt, R.2
Baker, B.3
Sridharan, S.4
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11
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A comparison of session variability compensation techniques for SVM-based speaker recognition
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M. McLaren, R. Vogt, B. Baker, and S. Sridharan, “A comparison of session variability compensation techniques for SVM-based speaker recognition,” in Proc. Interspeech, 2007, pp. 790-793.
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(2007)
Proc. Interspeech
, pp. 790-793
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McLaren, M.1
Vogt, R.2
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12
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Data-driven background dataset selection for SVM-based speaker verification
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print
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M. McLaren, R. Vogt, B. Baker, and S. Sridharan, “Data-driven background dataset selection for SVM-based speaker verification,” In print, IEEE Trans. Audio, Speech and Language Processing, 2010.
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IEEE Trans. Audio, Speech and Language Processing
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14
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Exploiting multiple feature sets in data-driven impostor dataset selection for speaker verification
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To be presented in
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M. McLaren, B. Baker, R. Vogt, and S. Sridharan, “Exploiting multiple feature sets in data-driven impostor dataset selection for speaker verification,” in To be presented in Proc. IEEE International Conference on Acoustics, Speech and Signal Processing, 2010.
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(2010)
Proc. IEEE International Conference on Acoustics, Speech and Signal Processing
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McLaren, M.1
Baker, B.2
Vogt, R.3
Sridharan, S.4
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15
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Experiments in session variability modelling for speaker verification
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May
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R. Vogt and S. Sridharan, “Experiments in session variability modelling for speaker verification,” in Proc. IEEE International Conference on Acoustics, Speech and Signal Processing, May 2006, vol. 1, pp. 897-900.
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(2006)
Proc. IEEE International Conference on Acoustics, Speech and Signal Processing
, vol.1
, pp. 897-900
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Vogt, R.1
Sridharan, S.2
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16
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Joint factor analysis versus eigenchannels in speaker recognition
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P. Kenny, G. Boulianne, P. Ouellet, and P. Dumouchel, “Joint factor analysis versus eigenchannels in speaker recognition,” IEEE Trans. Audio, Speech, and Language Processing, vol. 15, no. 4, pp. 1435-1447, 2007.
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May
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W.M. Campbell, D.E. Sturim, D.A. Reynolds, and A. Solomonoff, “SVM based speaker verification using a GMM supervector kernel and NAP variability compensation,” in Proc. IEEE International Conference on Acoustics, Speech and Signal Processing, May 2006, vol. 1, pp. 97-100.
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Proc. IEEE International Conference on Acoustics, Speech and Signal Processing
, vol.1
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Campbell, W.M.1
Sturim, D.E.2
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19
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Factor analysis subspace estimation for speaker verification with short utterances
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R. Vogt, B. Baker, and S. Sridharan, “Factor analysis subspace estimation for speaker verification with short utterances,” in Proc. Interspeech, 2008, pp. 853-856.
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(2008)
Proc. Interspeech
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