Unsupervised speaker diarization using riemannian manifold clustering

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

Volumn , Issue , 2014, Pages 567-571

  Huang, Che Wei ^a   Xiao, Bo ^a   Georgiou, Panayiotis G ^a   Narayanan, Shrikanth S ^a  

^a UNIVERSITY OF SOUTHERN CALIFORNIA   (United States)

Author keywords

Fisher rao metric; Riemannian locally linear embedding (LLE); Riemannian manifold clustering; Speaker diarization

Indexed keywords

GAUSSIAN DISTRIBUTION; SPEECH COMMUNICATION; SPEECH RECOGNITION;

FISHER-RAO METRIC; GAUSSIAN PROBABILITY DENSITY FUNCTIONS; K-NEAREST NEIGHBORS; LOCALLY LINEAR EMBEDDING; LOCALLY LINEAR EMBEDDING ALGORITHMS; RIEMANNIAN MANIFOLD; SPEAKER DIARIZATION; SPEAKER RECOGNITION EVALUATIONS;

PROBABILITY DENSITY FUNCTION;

EID: 84910060971     PISSN: 2308457X     EISSN: 19909772     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (20)

1. C. R. Rao, "Information and accuracy attainable in the estimation of statistical parameters", Bull. Calcutta Math. Soc. 37, 81-89, 1945.
2. M. P. do Carmo, "Riemannian Geometry", Birkhauser, Boston, 1992.
3. S. T. Roweis and L. K. Saul "Nonlinear dimensionality reduction by locally linear embedding", Science, vol. 290, no. 5500, pp. 2323-2326, Dec 2000.
4. J. B. Tenenbaum and V. de Silva, J. C. Langford "A global geometric framework for nonlinear dimensionality reduction", Science, vol. 290, no. 5500, pp. 2319-2322, Dec 2000.
5. N. N. Cencov, "Statistical decision rules and optimal inferences", volume 53 of Translations of Mathematical Monographs, AMS, Providence, USA, 1982.
6. A. Srivastava, I. Jermyn and S. Joshi "Riemannian analysis of probability density functions with applications in vision", Proc. IEEE Conf. Computer Vision and Pattern Recognition, pp. 1-8, June 2007.
7. A. Goh and R. Vidal, "Clustering and dimensionality reduction on Riemannian manifolds", in: Proc. of IEEE Computer Society Conf. on Computer Vision and Pattern Recognition, Anchorage, Alaska, pp. 1-7, 2008.
8. A. Goh, R. Vidal, "Unsupervised Riemannian clustering of probability density functions", in: W. Daelemans, B. Goethals, K. Morik (Eds.), Proceedings of the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, Springer, pp. 377392, 2008.
9. X. Anguera, S. Bozonnet, N. Evans, C. Fredouille, G. Friedland and O. Vinyals, "Speaker diarization: A review of recent research", IEEE Trans. Audio, Speech and Lang. Process., vol. 20, no. 2, pp. 356-370. 2012.
10. P. Kenny, P. Ouellet, N. Dehak, V. Gupta, and P. Dumouchel "A study of inter-speaker variability in speaker verification", IEEE Trans. Audio, Speech and Lang. Process., vol. 16, no. 5, pp. 980- 988, July 2008.
11. P. Kenny, D. Reynolds, and F. Castaldo, "Diarization of telephone conversations using factor analysis", IEEE Journal of Selected Topics in Signal Processing, vol. 4, no. 6, pp. 1059-1070, 2010.
12. "(2001) The NIST year 2001 speaker recognition evaluation plan". [Online] Available: http://www.nist.gov/speech/tests/spk/2001/doc/2001-spkrec-evalplan-v05.9.pdf.
13. M. Rouvier, G. Dupuy, P. Gay, E. Khoury, T. Merlin, S. Meignier, "An Open-source State-of-the-art Toolbox for Broadcast News Diarization", in Interspeech, Lyon, France, pp. 1477-1481, Aug 2013.
14. D. Vijayasenan, F. Valente, H. Bourlard, "An information theoretic approach to speaker diarization of meeting data", IEEE TASLP, vol. 17, pp. 1382-1393, Sept. 2009.
15. D. Reynolds, P. Kenny, F. Castaldo, "A study of new approaches to speaker dairization", in Proc. Interspeech, ISCA, 2009.
16. P. Kenny, "Bayesian analysis of speaker diarization with eigenvoice priors", CRIM, Montreal, Technical Report, 2008.
17. H. Ning, M. Liu, H. Tang, T. Huang, "A spectral clustering approach to speaker diarization", in Proc. Interspeech, ICSLP, Pittsburgh, 2006.
18. S. Ncube, "A novel Riemannian metric for analyzing spherical functions with applications to HARDI data", Ph.D. disseertation.
19. E. Elhamifar, R. Vidal, "Sparse manifold clustering and embedding", In NIPS, 2011.
20. H. E. Cetingul, M. J. Wright, P. M. Thompson, R. Vidal, "Segmentation of high angular resolution diffusion MRI using sparse Riemannian manifold clustering", IEEE Trans. Medical Imaging, vol. 33, no. 2, Fed 2014.