메뉴 건너뛰기




Volumn , Issue , 2013, Pages 1986-1990

I4U submission to NIST SRE 2012: A large-scale collaborative effort for noise-robust speaker verification

(34)  Saeidi, R a   Lee, K A b   Kinnunen, T c   Hasan, T d   Fauve, B e   Bousquet, P M f   Khoury, E g   Sordo Martinez, P L h   Kua, J M K i   You, C H b   Sun, H b   Larcher, A b   Rajan, P c   Hautamaki V c   Hanilci, C c   Braithwaite, B c   Gonzales Hautamaki R c   Sadjadi, S O d   Liu, G d   Boril, H d   more..


Author keywords

I4U; Ivector; NIST SRE 2012; Speaker verification

Indexed keywords

COMPUTER APPLICATIONS; COMPUTER SIMULATION;

EID: 84898068800     PISSN: 2308457X     EISSN: 19909772     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (74)

References (35)
  • 2
    • 44949251671 scopus 로고    scopus 로고
    • Data-driven design of front-end filter bank for Lombard speech recognition
    • H. Boril, P. Fousek, and P. Pollak. Data-driven design of front-end filter bank for Lombard speech recognition. In Proc. Interspeech 2006 (ICSLP), pages 381-384, 2006.
    • (2006) Proc. Interspeech 2006 (ICSLP) , pp. 381-384
    • Boril, H.1    Fousek, P.2    Pollak, P.3
  • 4
    • 84886695822 scopus 로고    scopus 로고
    • A simple and effective speech activity detection algorithm for telephone and microphone speech
    • Atlanta, US
    • M. McLaren and D. A. van Leeuwen. A simple and effective speech activity detection algorithm for telephone and microphone speech. In Proc. NIST SRE 2011 workshop, Atlanta, US, 2011.
    • (2011) Proc. NIST SRE 2011 Workshop
    • McLaren, M.1    Van Leeuwen, D.A.2
  • 5
    • 0041360463 scopus 로고    scopus 로고
    • Noise spectrum estimation in adverse environments: Improved minima controlled recursive averaging
    • I. Cohen. Noise spectrum estimation in adverse environments: improved minima controlled recursive averaging. IEEE Trans. on Speech and Audio Processing, 11(5):466 - 475, 2003.
    • (2003) IEEE Trans. on Speech and Audio Processing , vol.11 , Issue.5 , pp. 466-475
    • Cohen, I.1
  • 6
    • 85073258179 scopus 로고    scopus 로고
    • Feature warping for robust speaker verification
    • J. Pelecanos and S. Sridharan. Feature warping for robust speaker verification. In Odyssey, 2001.
    • (2001) Odyssey
    • Pelecanos, J.1    Sridharan, S.2
  • 7
    • 84873315510 scopus 로고    scopus 로고
    • Unsupervised speech activity detection using voicing measures and perceptual spectral flux
    • Mar
    • S. O. Sadjadi and J. H. L. Hansen. Unsupervised speech activity detection using voicing measures and perceptual spectral flux. IEEE Signal Processing Letters, pages 197-200, Mar. 2013.
    • (2013) IEEE Signal Processing Letters , pp. 197-200
    • Sadjadi, S.O.1    Hansen, J.H.L.2
  • 8
    • 84865772156 scopus 로고    scopus 로고
    • Front-end compensation methods for LVCSR under Lombard effect
    • Florence, Italy
    • H. Bořil, F. Grézl, and J. H. L. Hansen. Front-end compensation methods for LVCSR under Lombard effect. In INTERSPEECH 2011, pages 1257-1260, Florence, Italy, 2011.
    • (2011) Interspeech 2011 , pp. 1257-1260
    • Bořil, H.1    Grézl, F.2    Hansen, J.H.L.3
  • 15
    • 85073229756 scopus 로고    scopus 로고
    • Variance-spectra based normalization for i-vector standard and probabilistic linear discriminant analysis
    • P. M. Bousquet, A. Larcher, D. Matrouf, J. F. Bonastre, and O. Plchot. Variance-spectra based normalization for i-vector standard and probabilistic linear discriminant analysis. In Odyssey, 2012, 2012.
    • (2012) Odyssey, 2012
    • Bousquet, P.M.1    Larcher, A.2    Matrouf, D.3    Bonastre, J.F.4    Plchot, O.5
  • 17
    • 84865733857 scopus 로고    scopus 로고
    • Analysis of i-vector length normalization in speaker recognition systems
    • D. Garcia-Romero and C. Y. Espy-Wilson. Analysis of i-vector length normalization in speaker recognition systems. In Proc. Interspeech 2011, pages 249-252, 2011.
    • (2011) Proc. Interspeech 2011 , pp. 249-252
    • Garcia-Romero, D.1    Espy-Wilson, C.Y.2
  • 19
    • 0035396555 scopus 로고    scopus 로고
    • Noise power spectral density estimation based on optimal smoothing and minimum statistics
    • R. Martin. Noise power spectral density estimation based on optimal smoothing and minimum statistics. IEEE Trans. on Speech and Audio Processing, 9(5):504 -512, 2001.
    • (2001) IEEE Trans. on Speech and Audio Processing , vol.9 , Issue.5 , pp. 504-512
    • Martin, R.1
  • 24
    • 85073232294 scopus 로고    scopus 로고
    • A small foot-print i-vector extractor
    • P. Kenny. A small foot-print i-vector extractor. In Odyssey, 2012, pages 1-6, 2012.
    • (2012) Odyssey, 2012 , pp. 1-6
    • Kenny, P.1
  • 25
    • 85073109470 scopus 로고    scopus 로고
    • An i-vector extractor suitable for speaker recognition with both microphone and telephone speech
    • M. Senoussaoui, P. Kenny, N. Dehak, and P. Dumouchel. An i-vector extractor suitable for speaker recognition with both microphone and telephone speech. In Odyssey, 2010, pages 28-33, 2010.
    • (2010) Odyssey, 2010 , pp. 28-33
    • Senoussaoui, M.1    Kenny, P.2    Dehak, N.3    Dumouchel, P.4
  • 27
    • 33645887246 scopus 로고    scopus 로고
    • Support vector machines using GMM supervectors for speaker verification
    • W. M. Campbell, D. E. Sturim, and D. A. Reynolds. Support vector machines using GMM supervectors for speaker verification. IEEE Signal Processing Letters, 13(5):308 - 311, 2006.
    • (2006) IEEE Signal Processing Letters , vol.13 , Issue.5 , pp. 308-311
    • Campbell, W.M.1    Sturim, D.E.2    Reynolds, D.A.3
  • 30
    • 77955790894 scopus 로고    scopus 로고
    • GMM-SVM kernel with a bhattacharyya-based distance for speaker recognition
    • C. H. You, K. A. Lee, and H. Li. GMM-SVM kernel with a bhattacharyya-based distance for speaker recognition. IEEE Trans. Audio, Speech and Language Processing, 18(6):1300 - 1312, 2010.
    • (2010) IEEE Trans. Audio, Speech and Language Processing , vol.18 , Issue.6 , pp. 1300-1312
    • You, C.H.1    Lee, K.A.2    Li, H.3
  • 35
    • 71249110320 scopus 로고    scopus 로고
    • A majorization minimization algorithm for (multiple) hyperparameter learning
    • C. S. Foo, C. B. Do, and A. Y. Ng. A majorization minimization algorithm for (multiple) hyperparameter learning. In Int. Conf. Mach. Learning, pages 321-328, 2009.
    • (2009) Int. Conf. Mach. Learning , pp. 321-328
    • Foo, C.S.1    Do, C.B.2    Ng, A.Y.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.