Model based abnormal acoustic source detection using a microphone array

Heungkyu Lee, Jounghoon Beh, June Kim, Hanseok Ko

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

    2 Citations (Scopus)

    Abstract

    This paper proposes the model based detection method of abnormal acoustic source using a microphone array. General source location algorithm using a microphone array can be used to locate a dominant acoustic source, while this does not verify whether the detected source is permitted one or not on outdoor environments. It is difficult to discern it among a natural environmental sound. Thus, to cope with this problem, we propose the out-of-normal acoustic rejection method based on N-best likelihood ratio test using natural environmental sound models. In order to evaluate the proposed algorithm, a real-time DSP was constructed, and experimental evaluation is described.

    Original languageEnglish
    Title of host publicationAI 2005
    Subtitle of host publicationAdvances in Artificial Intelligence - 18th Australian Joint Conference on Artificial Intelligence, Proceedings
    Pages966-969
    Number of pages4
    DOIs
    Publication statusPublished - 2005
    Event18th Australian Joint Conference on Artificial Intelligence, AI 2005: Advances in Artificial Intelligence - Sydney, Australia
    Duration: 2005 Dec 52005 Dec 9

    Publication series

    NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
    Volume3809 LNAI
    ISSN (Print)0302-9743
    ISSN (Electronic)1611-3349

    Other

    Other18th Australian Joint Conference on Artificial Intelligence, AI 2005: Advances in Artificial Intelligence
    Country/TerritoryAustralia
    CitySydney
    Period05/12/505/12/9

    ASJC Scopus subject areas

    • Theoretical Computer Science
    • General Computer Science

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