Development, deployment and applications of robot audition open source software HARK

Kazuhiro Nakadai, Hiroshi G. Okuno, Takeshi Mizumoto

    Research output: Contribution to journalArticle

    8 Citations (Scopus)

    Abstract

    Robot audition is a research field that focuses on developing technologies so that robots can hear sound through their own ears (microphones). By compiling robot audition studies performed over more than 10 years, open source software for research purposes called HARK (Honda Research Institute Japan Audition for Robots with Kyoto University) was released to the public in 2008. HARK is updated every year, and free tutorials are often held for its promotion. In this paper, the major functions of HARK – such as sound source localization, sound source separation, and automatic speech recognition – are explained. In order to promote HARK, HARK-Embedded for embedding purposes and HARK-SaaS used as Software as a Service (SaaS) have been actively studied and developed in recent years; these technologies are also described in the paper. In addition, applications of HARK are introduced as case studies.

    Original languageEnglish
    Pages (from-to)16-25
    Number of pages10
    JournalJournal of Robotics and Mechatronics
    Volume29
    Issue number1
    DOIs
    Publication statusPublished - 2017 Feb 1

    Fingerprint

    Audition
    Robots
    Acoustic waves
    Source separation
    Microphones
    Speech recognition
    Open source software

    Keywords

    • Cloud service
    • Embedded software
    • Microphone array processing
    • Open source software
    • Robot audition

    ASJC Scopus subject areas

    • Computer Science(all)
    • Electrical and Electronic Engineering

    Cite this

    Development, deployment and applications of robot audition open source software HARK. / Nakadai, Kazuhiro; Okuno, Hiroshi G.; Mizumoto, Takeshi.

    In: Journal of Robotics and Mechatronics, Vol. 29, No. 1, 01.02.2017, p. 16-25.

    Research output: Contribution to journalArticle

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