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Volumn , Issue , 2011, Pages 4512-4515

Towards reduced false-alarms using cohorts

Author keywords

Adaptive Normalization; False Alarms; Score Normalization; Speaker Recognition

Indexed keywords

ADAPTIVE NORMALIZATION; DETECTION ERROR; FALSE ALARMS; NEAREST NEIGHBORS; SCORE NORMALIZATION; SPEAKER RECOGNITION;

EID: 80051622770     PISSN: 15206149     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICASSP.2011.5947357     Document Type: Conference Paper
Times cited : (47)

References (7)
  • 2
    • 42749100741 scopus 로고    scopus 로고
    • How to deal with multiple-targets in speaker identification systems
    • Y. Zigel and M. Wasserblat, "How to deal with multiple-targets in speaker identification systems," in Proc. Odyssey, 2006.
    • Proc. Odyssey, 2006
    • Zigel, Y.1    Wasserblat, M.2
  • 3
    • 33646768994 scopus 로고    scopus 로고
    • Speaker adaptive cohort selection for tnorm in text-independent speaker verification
    • D. E. Sturim and D. A. Reynolds, "Speaker adaptive cohort selection for tnorm in text-independent speaker verification," in Proc. ICASSP, 2005, vol. I, pp. 741-744.
    • Proc. ICASSP, 2005 , vol.1 , pp. 741-744
    • Sturim, D.E.1    Reynolds, D.A.2
  • 5
    • 85073098077 scopus 로고    scopus 로고
    • Unsupervised speaker adaptation based on the cosine similarity for text-independent speaker verification
    • S. Shum, N. Dehak, R. Dehak, and J. R. Glass, "Unsupervised speaker adaptation based on the cosine similarity for text-independent speaker verification," in Proc. Odyssey, 2010.
    • Proc. Odyssey, 2010
    • Shum, S.1    Dehak, N.2    Dehak, R.3    Glass, J.R.4
  • 6
    • 84858715169 scopus 로고    scopus 로고
    • Speaker comparison with inner product discriminant functions
    • W. M. Campbell, Z. Karam, and D. E. Sturim, "Speaker comparison with inner product discriminant functions," in Advances in NIPS 22, 2009, pp. 207-215.
    • (2009) Advances in NIPS 22 , pp. 207-215
    • Campbell, W.M.1    Karam, Z.2    Sturim, D.E.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.