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1
Speaker recognition with session variability normalization based on MLLR adaptation transforms
In: http://www.icsi.berkeley.edu/pubs/speech/ieee-aslp2007-mllrsvm.ps.pdf (2007)
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2
The contribution of cepstral and stylistic features to SRI’s 2005 NIST speaker recognition evaluation system
In: http://www-speech.sri.com/cgi-bin/run-distill?papers/icassp2006-spkr-system.ps.gz (2006)
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3
SRI’s 2004 NIST speaker recognition evaluation system
In: http://www.speech.sri.com/papers/icassp2005-spkr-system.pdf (2005)
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4
SRI’s 2004 NIST speaker recognition evaluation system
In: http://www-speech.sri.com/papers/icassp2005-spkr-system.ps.gz (2005)
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5
The SRI NIST 2008 speaker recognition evaluation system
In: https://www.sri.com/sites/default/files/publications/the_sri_nist_2008_speaker_recognition_evaluation_system.pdf
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6
SRI’s 2004 NIST speaker recognition evaluation system
In: http://www-speech.sri.com/cgi-bin/run-distill?papers/icassp2005-spkr-system.ps.gz
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7
ISCA Archive Speaker Verification Based on Broad Phonetic Categories
In: http://isca-speech.org/archive_open/archive_papers/odyssey/odys_201.pdf
Abstract: In this work we present a speaker verification system based on 4 broad phonetic categories: vowels+diphthongs, fricatives, glides+nasals, and silence+stops. Using these categories separately, it is observed that vowels, diphthongs, and fricatives are the most important categories for speaker verification. This observation confirms the results from the analysis of speaker and channel variability in speech. Using NIST speaker verification evaluation data, the performance of the phone based system is compared with the conventional speaker verification system based on Gaussian mixture model (GMM). The results show that the phone-based system outperforms the conventional system specifically when there is channel mismatch between training and testing data. 1.
URL: http://isca-speech.org/archive_open/archive_papers/odyssey/odys_201.pdf
http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.391.7201
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8
ACROSS-PHONE VARIABILITY AND DIAGONAL TERM IN JOINT FACTOR ANALYSIS FOR SPEAKER RECOGNITION
In: http://www.speech.sri.com/papers/icassp2010-phone-jfa.pdf
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9
NAP AND WCCN: COMPARISON OF APPROACHES USING MLLR-SVM SPEAKER VERIFICATION SYSTEM
In: http://www-speech.sri.com/cgi-bin/run-distill?papers/icassp2007-nap-wccn.ps.gz
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10
NAP AND WCCN: COMPARISON OF APPROACHES USING MLLR-SVM SPEAKER VERIFICATION SYSTEM
In: http://www.speech.sri.com/papers/icassp2007-nap-wccn.ps.gz
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