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文章基本信息

  • 标题:Multimodal speaker recognition in a conversation scenario
  • 本地全文:下载
  • 作者:Maria Letizia Marchegiani ; Fiora Pirri ; Matia Pizzoli
  • 期刊名称:Department of Computer and System Sciences Antonio Ruberti Technical Reports
  • 印刷版ISSN:2035-5750
  • 出版年度:2009
  • 卷号:1
  • 期号:7
  • 出版社:Department of Computer and System Sciences Antonio Ruberti. Sapienza, Università di Roma
  • 摘要: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.
  • 其他摘要: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.
  • 关键词:multi-modal perception;human robot interaction;multi-modal perception;human robot interaction
  • 其他关键词:multi-modal perception; human robot interaction
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