Abstract | ||
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As a step toward the design of a robot that can take part to a conversation we propose a robotic system that, taking advantage of multiple perceptual capabilities, actively follows a conversation among several human subjects. The essential idea of our proposal is that the robot system can dynamically change the focus of its attention according to visual or audio stimuli to track the actual speaker throughout the conversation and infer her identity. |
Year | DOI | Venue |
---|---|---|
2009 | 10.1007/978-3-642-04667-4_2 | ICVS |
Keywords | Field | DocType |
multiple perceptual capability,human subject,multimodal speaker recognition,robotic system,audio stimulus,robot system,conversation scenario,essential idea,actual speaker,human robot interaction,speaker recognition | Computer vision,Robotic systems,Conversation,Computer science,Support vector machine,Speech recognition,Speaker recognition,Artificial intelligence,Speaker diarisation,Robot,Perception,Human–robot interaction | Conference |
Volume | ISSN | Citations |
5815 | 0302-9743 | 3 |
PageRank | References | Authors |
0.48 | 7 | 3 |
Name | Order | Citations | PageRank |
---|---|---|---|
Maria Letizia Marchegiani | 1 | 3 | 0.48 |
Fiora Pirri | 2 | 684 | 94.09 |
Matia Pizzoli | 3 | 446 | 19.74 |