Difference between revisions of "Sound source localization for robots"
| Line 11: | Line 11: | ||
Essential bibliography: | Essential bibliography: | ||
| − | "The cocktail party problem" | + | Haykin, Simon, and Zhe Chen. "The cocktail party problem." Neural computation 17.9 (2005): 1875-1902 [http://www.mitpressjournals.org/doi/abs/10.1162/0899766054322964#.Vi5BNux_Oko] |
| − | "The cocktail party robot", [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] |
| − | "A probabilistic model for binaural | + | 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] |
| − | "Binaural estimation of sound | + | 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. [http://ieeexplore.ieee.org/xpl/login.jsp?tp=&arnumber=5482049&url=http%3A%2F%2Fieeexplore.ieee.org%2Fxpls%2Fabs_all.jsp%3Farnumber%3D5482049] |
| − | "Learning the | + | Deleforge, Antoine, and Radu Horaud. "Learning the direction of a sound source using head motions and spectral features." (2011): 29. [https://hal.inria.fr/inria-00564708/] |
Revision as of 10:02, 10 December 2015
| Title: | Sound source localization for robots | [[Image:{{{image}}}|center|300px]] |
|---|---|---|
| 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]
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. [3]
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. [4]
Deleforge, Antoine, and Radu Horaud. "Learning the direction of a sound source using head motions and spectral features." (2011): 29. [5]
