Implementation of active direction-pass filter on dynamically reconfigurable processor

Shunsuke Kurotaki, Noriaki Suzuki, Kazuhiro Nakadai, Hiroshi G. Okuno, Hideharu Amano

Research output: Chapter in Book/Report/Conference proceedingConference contribution

8 Citations (Scopus)


In this paper, we report the design and implementation of a sound source separation system using a dynamically reconfigurable device. A robot in real-world environments should have an ability to treat a mixture of multiple sound signals. Active Direction-Pass Filter (ADPF) which extracts sound from a specific direction by using a pair of microphones has been developed as such a method of sound source separation. The ADPF was used as a front-end for an automatic speech recognition system, and recognition of three simultaneous speech signals has been reported. The ADPF, however, requires a lot of computational power, while the battery capacity and the physical size of the robot are limited. To reduce the power consumption and the size of the system, we adopted the dynamically reconfigurable device, "DRP" developed by NEC Electronics. We implemented the ADPF on DRP, and investigated the effectiveness of dynamically reconfigurable device for these applications. The preliminary experiment shows that ADPF on DRP separates a mixture of sound sources in real-time with practical accuracy.

Original languageEnglish
Title of host publication2005 IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS
PublisherIEEE Computer Society
Number of pages6
ISBN (Print)0780389123, 9780780389120
Publication statusPublished - 2005

Publication series

Name2005 IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS


  • Active Direction-Pass Filter (ADPF)
  • Drp
  • Dynamically reconfigurable device
  • Robot audition
  • Sound source separation

ASJC Scopus subject areas

  • Artificial Intelligence
  • Computer Vision and Pattern Recognition
  • Human-Computer Interaction
  • Control and Systems Engineering


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