Difference between revisions of "Sound source localization for robots"
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Deleforge, Antoine, and Radu Horaud. "The cocktail party robot: Sound source separation and localisation with an active binaural head." Proceedings of the seventh annual ACM/IEEE international conference on Human-Robot Interaction. ACM, 2012. [http://dl.acm.org/citation.cfm?id=2157834] | Deleforge, Antoine, and Radu Horaud. "The cocktail party robot: Sound source separation and localisation with an active binaural head." Proceedings of the seventh annual ACM/IEEE international conference on Human-Robot Interaction. ACM, 2012. [http://dl.acm.org/citation.cfm?id=2157834] | ||
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+ | Antoine Deleforge, Radu Horaud, Yoav Y. Schechner, Laurent Girin. Co-Localization of Audio Sources in Images Using Binaural Features and Locally- | ||
+ | Linear Regression. IEEE Transactions on Audio, Speech and Language Pro-cessing, Institute of Electrical and Electronics Engineers (IEEE), 2015, 23 (4), | ||
+ | pp.718-731. [http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=7045516] | ||
Willert, Volker, et al. "A probabilistic model for binaural sound localization." Systems, Man, and Cybernetics, Part B: Cybernetics, IEEE Transactions on 36.5 (2006): 982-994. [http://ieeexplore.ieee.org/xpl/login.jsp?tp=&arnumber=1703643&url=http%3A%2F%2Fieeexplore.ieee.org%2Fxpls%2Fabs_all.jsp%3Farnumber%3D1703643] | Willert, Volker, et al. "A probabilistic model for binaural sound localization." Systems, Man, and Cybernetics, Part B: Cybernetics, IEEE Transactions on 36.5 (2006): 982-994. [http://ieeexplore.ieee.org/xpl/login.jsp?tp=&arnumber=1703643&url=http%3A%2F%2Fieeexplore.ieee.org%2Fxpls%2Fabs_all.jsp%3Farnumber%3D1703643] |
Revision as of 10:06, 10 December 2015
Title: | Sound source localization for robots | [[Image:{{{image}}}|center|300px]] |
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Description: | Analysis of the state-of-the-art of binaural systems for audio detection and localization in robotics | |
Tutor: | MatteoMatteucci | |
Start: | 2015/10/08 | |
Number of students: | 1 | |
CFU: | 20 |
Analysis of the state-of-the-art of sound source localisation algorithms. Application and improvement of existing systems developping a binaural models to apply on a robot, initially based on a stereo acquisition, then using different type of sensors (microphone array, MEMS, etc...).
Essential bibliography:
Haykin, Simon, and Zhe Chen. "The cocktail party problem." Neural computation 17.9 (2005): 1875-1902 [1]
Deleforge, Antoine, and Radu Horaud. "The cocktail party robot: Sound source separation and localisation with an active binaural head." Proceedings of the seventh annual ACM/IEEE international conference on Human-Robot Interaction. ACM, 2012. [2]
Antoine Deleforge, Radu Horaud, Yoav Y. Schechner, Laurent Girin. Co-Localization of Audio Sources in Images Using Binaural Features and Locally- Linear Regression. IEEE Transactions on Audio, Speech and Language Pro-cessing, Institute of Electrical and Electronics Engineers (IEEE), 2015, 23 (4), pp.718-731. [3]
Willert, Volker, et al. "A probabilistic model for binaural sound localization." Systems, Man, and Cybernetics, Part B: Cybernetics, IEEE Transactions on 36.5 (2006): 982-994. [4]
Lu, Yan-Chen, and Martin Cooke. "Binaural estimation of sound source distance via the direct-to-reverberant energy ratio for static and moving sources." Audio, Speech, and Language Processing, IEEE Transactions on 18.7 (2010): 1793-1805. [5]
Deleforge, Antoine, and Radu Horaud. "Learning the direction of a sound source using head motions and spectral features." (2011): 29. [6]