Robot audition: Its rise and perspectives

Hiroshi G. Okuno, Kazuhiro Nakadai

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

    28 Citations (Scopus)

    Abstract

    The ability of robots to listen to several things at once with their own 'ears', that is, robot audition, is an important factor in improving interaction and symbiosis between humans and robots. The critical issue in robot audition is real-time processing and robustness against noisy environments with high flexibility to support various kinds of robots and hardware configurations. This paper first overviews activities and issues related to robot audition. Then, it presents the 'HARK' robot audition software, which provides three primary functions for robot audition, sound source localization, sound source separation, and separated sound recognition, and then reports their performance. Finally, it discusses future directions in new promising areas as well as robotics.

    Original languageEnglish
    Title of host publicationICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
    PublisherInstitute of Electrical and Electronics Engineers Inc.
    Pages5610-5614
    Number of pages5
    Volume2015-August
    ISBN (Print)9781467369978
    DOIs
    Publication statusPublished - 2015 Aug 4
    Event40th IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2015 - Brisbane, Australia
    Duration: 2014 Apr 192014 Apr 24

    Other

    Other40th IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2015
    CountryAustralia
    CityBrisbane
    Period14/4/1914/4/24

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    Keywords

    • Active audition
    • Ego-noise cancellation
    • Microphone array
    • Robot Audition

    ASJC Scopus subject areas

    • Signal Processing
    • Software
    • Electrical and Electronic Engineering

    Cite this

    Okuno, H. G., & Nakadai, K. (2015). Robot audition: Its rise and perspectives. In ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings (Vol. 2015-August, pp. 5610-5614). [7179045] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICASSP.2015.7179045