Difference between revisions of "Sound source localization for robots"
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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...). | 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: | ||
| + | |||
| + | "The cocktail party problem", [http://www.mitpressjournals.org/doi/abs/10.1162/0899766054322964#.Vi5BNux_Oko] | ||
| + | |||
| + | "The cocktail party robot", [http://dl.acm.org/citation.cfm?id=2157834] | ||
| + | |||
| + | "A probabilistic model for binaural source localization", [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 sources distance using direct to reverberant energy ratio", [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 Direction of a Sound Source Using Head Motions and Spectral Features", [https://hal.inria.fr/inria-00564708/] | ||
Revision as of 10:56, 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:
"The cocktail party problem", [1]
"The cocktail party robot", [2]
"A probabilistic model for binaural source localization", [3]
"Binaural estimation of sound sources distance using direct to reverberant energy ratio", [4]
"Learning the Direction of a Sound Source Using Head Motions and Spectral Features", [5]
