The NIST speaker recognition evaluations: 1996-2001

2001: A Speaker Odyssey - The Speaker Recognition Workshop

Volumn , Issue , 2001, Pages 39-44

  Martin, Alvin F ^a   Przybocki, Mark A ^a  

^a NATIONAL INSTITUTE OF STANDARDS AND TECHNOLOGY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

PERFORMANCE MEASURE; SPEAKER RECOGNITION; SPEAKER RECOGNITION EVALUATIONS;

SPEECH RECOGNITION;

EID: 85037088780     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (11)

1. Przybocki, M. and Martin, A., NIST speaker recognition evaluation – 1997”, RLA2C, Avignon, April 1998, pp. 120-123
2. Doddington, G., et al., “The NIST speaker recognition evaluation – Overview, methodology, systems, results, perspective”, Speech Communication 31 (2000), pp. 225-254
3. Martin, A. and Przybocki, M., “The NIST 1999 Speaker Recognition Evaluation - An Overview”, Digital Signal Processing, Vol. 10, Num. 1-3. January/April/July 2000, pp. 1-18
4. Martin, A. and Przybocki, M., “Speaker Recognition in a Multi-Speaker Environment”, Proc. Eurospeech ‘01
5. Switchboard Corpora are available from the LDC at http://www.ldc.upenn.edu/
6. J. Ortega-Garcia et al., “AHUMADA: A Large Speech Corpus in Spanish for Speaker Identification and Verification”, Proc. ICASSP’98, Vol. II, pp. 773-776
7. Doddington, G., “Speaker recognition evaluation methodology: a review and perspective”, RLA2C, Avignon, April 1998, pp. 60-66
8. Martin, A., et al., “The DET curve in assessment of detection task performance”. Proc. EuroSpeeech Vol. 4 (1997), pp. 1895-1898
9. Fiscus, J., et al., “2000 NIST Evaluation of Conversational Speech Recognition Over the Telephone”, Proc. 2000 Speech Transcription Workshop, http://www.nist.gov/speech/publications/tw00/html/cts10/cts10 .htm
10. Doddington, G., “Some experiments on Idiolectal Differences among Speakers”, http://www.nist.gov/speech/tests/spk/2000/doc/n-gram_experiments-v06.pdf
11. G. Doddington, “Speaker Recognition based on Idiolectal Differences between Speakers”, Proc. Eurospeech ‘01