Computational Auditory Scene Analysis and Its Application to Robot Audition

  • Authors:
  • Hiroshi G. Okuno;Tetsuya Ogata;Kazunori Komatani;Kazuhiro Nakadai

  • Affiliations:
  • Kyoto University;Kyoto University;Kyoto University;Honda Research Institute Japan

  • Venue:
  • ICKS '04 Proceedings of the International Conference on Informatics Research for Development of Knowledge Society Infrastructure
  • Year:
  • 2004

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Abstract

We are engaged in research on computational auditoryscene analysis to attain sophisticated robot (computer) humaninteraction by recognizing auditory awareness. Theobjective of our research is the understanding of an arbitrarysound mixture including non-speech sounds and musicas well as voiced speech, obtained by robotýs ears (ormicrophones embedded in the robot). The main issues aresound source localization, separation, and recognition atsignal processing levels, and signal-to-symbol transformationat the interface level to symbol processing levels. Thelatter is critical in developmental communication and weare developing an automatic onomatopoeia recognition system.This paper overviews our activities in robot audition,in particular, active direction-pass filter (ADPF) that separatessounds originating from a specific direction by integratingsound source localization and visual processing.ADPF is implemented on three kinds of robots anddemonstrates separating and recognizing three simultaneousspeeches with a pair of microphones.