Effect of multicondition training on i-vector PLDA configurations for speaker recognition

Proceedings of the Annual Conference of the International Speech Communication Association, INTERSPEECH

Volumn , Issue , 2013, Pages 3694-3697

  Rajan, Padmanabhan ^a   Kinnunen, Tomi ^a   Hautamäki, Ville ^a  

^a UNIVERSITY OF EASTERN FINLAND   (Finland)

Author keywords

I vector; Multicondition training; PLDA; Speaker verification

Indexed keywords

COMPUTER APPLICATIONS; COMPUTER SIMULATION;

I VECTORS; LENGTH NORMALIZATION; MULTI-CONDITION TRAININGS; PLDA; SPEAKER RECOGNITION; SPEAKER RECOGNITION SYSTEM; SPEAKER VERIFICATION; STATE-OF-THE-ART PERFORMANCE;

SPEECH RECOGNITION;

EID: 84905262106     PISSN: 2308457X     EISSN: 19909772     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (18)

1. N. Dehak, P. Kenny, R. Dehak, P. Dumouchel, and P. Ouellet, "Front-end factor analysis for speaker verification, " IEEE Trans. Audio, Speech Lang. Process., vol. 19, no. 4, pp. 788-798, 2011.
2. A. Kanagasundaram, R. J. Vogt, D. B. Dean, and S. Sridharan, "PLDA based speaker recognition on short utterances, " in Proc. Odyssey, 2012.
3. A. K. Sarkar, D. Matrouf, P. M. Bousquet, and J. F. Bonastre, "Study of the effect of i-vector modeling on short and mismatch utterance duration for speaker verification, " http://www.researchgate.net/publication/.[Online]. Available:http://www.researchgate.net/publication/225280320StudyoftheEffectofI- vectorModelingonShortandMismatchUteranceDurationforSpeakerVerification/file/ d912f4fd907a71a0f3.pdf.
4. P. Kenny, T. Stafylakis, P. Ouellet, J. Alam, and P. Dumouchel, "PLDA for speaker verification with utterances of arbitrary duration, " in Proc. Int. Conf. Acoust., Speech, Signal Process., 2013.
5. M. Mandasari, M. McLaren, and L. D. Au, "The effect of noise on modern automatic speaker recognition systems, " in Proc. Int. Conf. Acoust., Speech, Signal Process., 2012.
6. M. McLaren and D. van-Leeuwen, "Improved speaker recognition when using i-vectors from multiple speech sources, " in Proc. Int. Conf. Acoust., Speech, Signal Process., 2011, pp. 5460-5463.
7. D. Garcia-Romero, X. Zhou, and C. Y. Espy-Wilson, "Multicondition training of Gaussian PLDA models in i-vector space for noise and reverberation robust speaker recognition, " in Proc. Int. Conf. Acoust., Speech, Signal Process., 2012, pp. 4257-4260.
8. D. van-Leeuwen and R. Saeidi, "Knowing the non-target speakers: The effect of the i-vector population for plda training in speaker recognition, " in Proc. Int. Conf. Acoust. Speech, Signal Process., 2013.
9. R. Saeidi and et al., "I4U submission to NIST SRE 2012: A largescale collaborative effort for noise-robust speaker verification, " in Proc. Interspeech, 2013.
10. T. Kinnunen and P. Rajan, "A practical, self adaptive voice activity detector for speaker verification with noisy telephone and microphone data, " in Proc. Int. Conf. Acoust., Speech, Signal Process., 2013, pp. 7229-7233.
11. P. Kenny, G. Boulianne, and P. Dumouchel, "Eigenvoice modeling with sparse training data, " IEEE Trans. Speech Audio Process., vol. 13, no. 3, pp. 345-354, 2005.
12. O. Glembek, L. Burget, P. Matejka, M. Karafiat, and P. Kenny, "Simplification and optimization of i-vector extraction, " in Proc. Int. Conf. Acoust., Speech, Signal Process., 2011, pp. 4516 -4519.
13. S. J. D. Prince and J. H. Elder, "Probabilistic linear discriminant analysis for inferences about identity, " in Proc.Int. Conf. Computer Vision, 2007, pp. 1-8.
14. P. Kenny, "Bayesian speaker verification with heavy tailed priors, " in Proc. Odyssey, 2010.
15. "The NIST year 2010 speaker recognition evaluation plan, " 2010, http://www.itl.nist.gov/iad/mig/tests/sre/2010/.
16. J. Ming, T. Hazen, J. Glass, and D. Reynolds, "Robust speaker recognition in noisy conditions, " IEEE Trans. Audio, Speech Lang. Process., vol. 15, no. 5, pp. 1711-1723, 2007.
17. D. Garcia-Romero and C. Espy-Wilson, "Analysis of i-vector length normalization in speaker recognition systems, " in Proc. Interspeech, 2011, pp. 249-252.
18. P. Bousquet, A. Larcher, D. Matrouf, J. Bonastre, and O. Plchot, "Variance-spectra based normalization for i-vector standard and probabilistic linear discriminant analysis, " in Proc. Odyssey, 2012.