Bayesian Unification of Sound Source Localization and Separation with Permutation Resolution

Proceedings of the 26th AAAI Conference on Artificial Intelligence, AAAI 2012

Volumn , Issue , 2012, Pages 2038-2045

  Otsuka, Takuma ^a   Ishiguro, Katsuhiko ^b   Sawada, Hiroshi ^b   Okuno, Hiroshi G ^a  

^a KYOTO UNIVERSITY   (Japan)

^b NTT Communication Science Laboratories   (Japan)

Author keywords

[No Author keywords available]

Indexed keywords

ACOUSTIC GENERATORS; SOURCE SEPARATION;

BAYESIAN; BAYESIAN FRAMEWORKS; CLUSTERING PROBLEMS; COMPUTATIONAL AUDITORY SCENE ANALYSIS; LOCALISATION; MUTUAL DEPENDENCES; SCENE ANALYSIS SYSTEMS; SOUND SOURCE LOCALIZATION; SOUND SOURCE SEPARATION; STATE-OF-THE-ART METHODS;

PROBLEM SOLVING;

EID: 85167465023     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (37)

1. Asano, F., and Asoh, H. 2011. Joint Estimation of Sound Source Location and Noise Covariance in Spatially Colored Noise. In Proc. of 19th European Signal Processing Conference, 2009-2013.
2. Asano, F.; Goto, M.; Itou, K.; and Asoh, H. 2001. Real-time Sound Source Localization and Separation System and Its Application to Automatic Speech Recognition. In Proc. of Eurospeech2001, 1013-1016.
3. Attias, H. 2000. A Variational Bayesian Framework for Graphical Models. In Advances in Neural Information Processing Systems 12, 209-215.
4. Benesty, J.; Chen, J.; and Huang, Y. 2008. Microphone Array Signal Processing. Springer Topics in Signal Processing. Springer.
5. Bishop, C. M. 2006. Pattern Recognition And Machine Learning. Springer-Verlag. chapter 10: Approximate Inference.
6. Blei, D. M.; Ng, A. Y.; and Jordan, M. I. 2003. Latent Dirichlet Allocation. Journal of Machine Learning Research 3:993-1022.
7. Brooks, R. 1986. A Robust Layered Control System for A Mobile Robot. IEEE Journal of Robotics and Automation 2(1):14-23.
8. Common, P., and Jutten, C., eds. 2010. Handbook of Blind Source Separation: Independent Component Analysis and Applications. Academic Press.
9. Conradsen, K.; Nielsen, A. A.; Schou, J.; and Skiriver, H. 2003. A Test Statistic in the Complex Wishart Distribution and Its Application to Change Detection in Polarimetric SAR Data. IEEE Trans. on Geoscience and Remote Sensing 41(1):4-19.
10. Duong, N. Q. K.; Vincent, E.; and Gribonval, R. 2010. Under-Determined Reverberant Audio Source Separation Using a Full-Rank Spatial Covariance Model. IEEE Trans. on Audio, Speech, and Language Processing 18(7):1830-1840.
11. Hulsebos, E.; de Vries, D.; and Bourdillat, E. 2002. Improved Microphone Array Configurations for Auralization of Sound Fields by Wave-Field Synthesis. Journal of Audio Engineering Society 50(10):779-790.
12. Knowles, D., and Ghahramani, Z. 2007. Infinite Sparse Factor Analysis and Infinite Independent Components Analysis. In Proc. of International Conference on Independent Component Analysis and Signal Separation, 381-388.
13. Knowles, D. 2007. Infinite Independent Component Analysis. Technical report, MEng Information Engineering, Cambrige University.
14. Kubota, Y.; Yoshida, M.; Komatani, K.; Ogata, T.; and Okuno, H. G. 2008. Design and Implementation of 3D Auditory Scene Visualizer towards Auditory Awareness with Face Tracking. In Proc. of IEEE International Symboposium on Multimedia (ISM-2008), 468-476.
15. Kurihara, K.; Welling, M.; and Teh, Y. W. 2007. Collapsed Variational Dirichlet Process Mixture Models. In Proc. of International Joint Conferences on Artificial Intelligence.
16. Lee, I.; Kim, T.; and Lee, T.-W. 2007. Fast Fixed-point Independent Vector Analysis Algorithms for Convolutive Blind Source Separation. Signal Processing 87(8):1859-1871.
17. MacKay, D. 1997. Ensemble Learning for Hidden Markov Models. Technical report, Department of Physics, Cambridge University.
18. Mandel, M. I.; Ellis, D. P. W.; and Jebara, T. 2007. An EM Algorithm for Localizing Multiple Sound Sources in Reverberant Environments. Advances in Neural Information Processing Systems 19.
19. McTear, M. 2004. Spoken Dialogue Technology. London: Springer Verlag.
20. Nakadai, K.; Lourens, T.; Okuno, H. G.; and Kitano, H. 2000. Active Audition for Humanoid. In Proc. of 17th National Conference on Artificial Intelligence, 832-839.
21. Nakadai, K.; Takahashi, T.; Okuno, H. G.; Nakajima, H.; Yuji, H.; and Tsujino, H. 2010. Design and Implementation of Robot Audition System “HARK”. Advanced Robotics 24(5-6):739-761.
22. Ono, N. 2011. Stable and fast update rules for independent vector analysis based on auxiliary function technique. In IEEE Workshop on Applications of Signal Processing to Audio and Acoustics, 189-192.
23. Pedersen, M. S.; Larsen, J.; Kjems, U.; and Parra, L. C. 2007. A Survey of Convolutive Blind Source Separation Methods. In Benesty, J.; Sondhi, M. M.; and Huang, Y., eds., Springer Handbook of Speech Processing. Springer Press.
24. Rosenthal, D. F., and Okuno, H. G. 1998. Computational Auditory Scene Analysis. New Jersey: Lawrence Erlbaum.
25. Sasaki, Y.; Kagami, S.; and Mizoguchi, H. 2009. Online Short-Term Multiple Sound Source Mapping for a Mobile Robot by Robust Motion Triangulation. Advanced Robotics 23(1-2):145-164.
26. Sawada, H.; Araki, S.; and Makino, S. 2011. Underdetermined Convolutive Blind Source Separation via Frequency Bin-Wise Clustering and Permutation Alignment. IEEE Trans. on Audio, Speech, and Language Processing 19(3):516-527.
27. Sawada, H.; Mukai, R.; Araki, S.; and Makino, S. 2004. A Robust and Precise Method for Solving the Permutation Problem of Frequency-Domain Blind Source Separation. IEEE Trans. on Audio, Speech, and Language Processing 12(5):530-538.
28. Sethuraman, J. 1994. A Constructive Definition of Dirichlet Priors. Statistica Sinica 4:639-650.
29. Teh, Y. W.; Jordan, M. I.; Beal, M. J.; and Blei, D. M. 2006. Hierarchical Dirichlet Processes. Journal of the American Statistical Association 101(476):1566-1581.
30. van den Bos, A. 1995. The Multivariate Complex Normal Distribution-A Generalization. IEEE Trans. on Information Theory 41(2):537-539.
31. Vincent, E.; Gribonval, R.; and Févotte, C. 2006. Performance Measurement in Blind Audio Source Separation. IEEE Trans. on Audio, Speech, and Language Processing 14(4):1462-1469.
32. Wallach, H.; Mimno, D.; and McCallum, A. 2009. Rethinking LDA: Why priors matter. Advances in Neural Information Processing Systems 22:1973-1981.
33. Wang, D., and Brown, G. J. 2006. Computational Auditory Scene Analysis: Principles, Algorithms, and Applications. New York: Wiley-IEEE Press.
34. Wang, Q. H.; Ivanov, T.; and Aarabi, P. 2003. Acoustic Robot Navigation using Distributed Microphone Arrays. Information Fusion 5(2):131-140.
35. Wang, C.; Paisley, J.; and Blei, D. 2011. Online variational inference for the hierarchical Dirichlet process. In Proc. Artificial Intelligence and Statistics.
36. Yamada, M.; Sugiyama, M.; and Matsui, T. 2010. Semi-Supervised Speaker Identification Under Covariate Shift. Signal Processing 90(8):2353-2361.
37. Yoshioka, T.; Nakatani, T.; Miyoshi, M.; and Okuno, H. G. 2011. Blind Separation and Dereverberation of Speech Mixtures by Joint Optimization. IEEE Trans. on Audio, Speech, and Language Processing 19(1):69-84.