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Volumn , Issue , 2011, Pages 5460-5463

Improved speaker recognition when using i-vectors from multiple speech sources

Author keywords

i vector; linear discriminant analysis; source conditions; speaker recognition; total variability

Indexed keywords

I-VECTOR; LINEAR DISCRIMINANT ANALYSIS; SOURCE CONDITIONS; SPEAKER RECOGNITION; TOTAL VARIABILITY;

EID: 80051625378     PISSN: 15206149     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICASSP.2011.5947594     Document Type: Conference Paper
Times cited : (23)

References (9)
  • 1
    • 70450180849 scopus 로고    scopus 로고
    • Support vector machines versus fast scoring in the lowdimensional total variability space for speaker verification
    • N. Dehak, R. Dehak, P. Kenny, N. Brummer, P. Ouellet, and P. Dumouchel, "Support vector machines versus fast scoring in the lowdimensional total variability space for speaker verification," in Proc. Interspeech, 2009, pp. 1559-1562.
    • Proc. Interspeech, 2009 , pp. 1559-1562
    • Dehak, N.1    Dehak, R.2    Kenny, P.3    Brummer, N.4    Ouellet, P.5    Dumouchel, P.6
  • 9
    • 80051605064 scopus 로고    scopus 로고
    • Available
    • National Institute of Standards and Technology, NIST 2010 SRE Evaluation Plan, Available: http://www.itl.nist.gov/iad/mig/tests/sre/2010/.
    • NIST 2010 SRE Evaluation Plan


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.