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Volumn , Issue , 2004, Pages 1409-1412

SVM modeling of "SNERF-Grams" for speaker recognition

Author keywords

[No Author keywords available]

Indexed keywords

SUPPORT VECTOR MACHINES;

EID: 85009115820     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (18)

References (11)
  • 1
    • 85009124414 scopus 로고    scopus 로고
    • Speaker recognition based on idiolectal differences between speakers
    • Aalborg, Denmark, Sept.
    • G. Doddington, et al, "Speaker Recognition Based on Idiolectal Differences between Speakers", in Proc. Eurospeech, Aalborg, Denmark, Sept. 2001, pp. 2521-2524.
    • (2001) Proc. Eurospeech , pp. 2521-2524
    • Doddington, G.1
  • 2
    • 80052127853 scopus 로고    scopus 로고
    • Modeling duration patterns for speaker recognition
    • Geneva September
    • L. Ferrer et al., "Modeling Duration Patterns for Speaker Recognition," in Proc. Eurospeech, Geneva, pp. 2017-2020, September 2003.
    • (2003) Proc. Eurospeech , pp. 2017-2020
    • Ferrer, L.1
  • 3
    • 78651105404 scopus 로고    scopus 로고
    • Speaker recognition using prosodic and lexical features
    • St. Thomas, U. S. Virgin Islands December
    • S. Kajarekar et al., "Speaker Recognition Using Prosodic and Lexical Features", in Proc. IEEE Speech Recognition and Understanding Workshop, St. Thomas, U. S. Virgin Islands, pp. 19-24, December 2003.
    • (2003) Proc. IEEE Speech Recognition and Understanding Workshop , pp. 19-24
    • Kajarekar, S.1
  • 4
    • 85168075201 scopus 로고    scopus 로고
    • Modeling NERFs for speaker recognition
    • Toledo, Spain May
    • S. Kajarekar, et al, "Modeling NERFs for Speaker Recognition", in Proc. Odyssey Workshop, Toledo, Spain, pp. 51-56, May 2004.
    • (2004) Proc. Odyssey Workshop , pp. 51-56
    • Kajarekar, S.1
  • 5
    • 0141744710 scopus 로고    scopus 로고
    • The SuperSID project: Exploiting high-level information for high-accuracy speaker recognition
    • Hong Kong April
    • D. Reynolds et al., "The SuperSID Project: Exploiting High-level Information for High-accuracy Speaker Recognition", in Proc. ICASSP, Vol. 4, Hong Kong, pp. 784-787, April 2003.
    • (2003) Proc. ICASSP , vol.4 , pp. 784-787
    • Reynolds, D.1
  • 6
    • 0029355999 scopus 로고
    • Speaker identification and verification using Gaussian mixture speaker models
    • Aug.
    • D. Reynolds, "Speaker Identification and Verification Using Gaussian Mixture Speaker Models", Speech Communication, Vol. 17, no. 1-2, pp. 91-108, Aug. 1995.
    • (1995) Speech Communication , vol.17 , Issue.1-2 , pp. 91-108
    • Reynolds, D.1
  • 7
    • 0141813506 scopus 로고    scopus 로고
    • Channel robust speaker verification via channel mapping
    • April
    • D. Reynolds, "Channel Robust Speaker Verification via Channel Mapping", in Proc. ICASSP, Vol. 2, pp. 53-56, April 2003.
    • (2003) Proc. ICASSP , vol.2 , pp. 53-56
    • Reynolds, D.1
  • 8
    • 85128436986 scopus 로고    scopus 로고
    • Modeling dynamic prosodic variation for speaker verification
    • Sydney, Australia August
    • K. Sönmez, et al, "Modeling Dynamic Prosodic Variation for Speaker Verification," in Proc. ICSLP, Vol. 6, Sydney, Australia, pp. 2631-2634, August 1998.
    • (1998) Proc. ICSLP , vol.6 , pp. 2631-2634
    • Sönmez, K.1
  • 10
    • 0000636553 scopus 로고    scopus 로고
    • Text categorization with support vector machines: Learning with many relevant features
    • T. Joachims, "Text Categorization with Support Vector Machines: Learning with Many Relevant Features", in Proc. of European Conference on Machine Learning, 1998.
    • (1998) Proc. of European Conference on Machine Learning
    • Joachims, T.1
  • 11
    • 0033884857 scopus 로고    scopus 로고
    • Score normalization for text-independent speaker verification systems
    • R Auckenthaler, et al, "Score Normalization for Text-Independent Speaker Verification Systems", Digital Signal Processing 10, 2000, pp. 42-54
    • (2000) Digital Signal Processing , vol.10 , pp. 42-54
    • Auckenthaler, R.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.