Theoretical Framework of A Computational Model of Auditory Memory for Music Emotion Recognition

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    Abstract

    The bag of frames (BOF) approach commonly used in
    music emotion recognition (MER) has several limitations.
    The semantic gap is believed to be responsible for the glass
    ceiling on the performance of BOF MER systems. However,
    there are hardly any alternative proposals to address
    it. In this article, we introduce the theoretical framework
    of a computational model of auditory memory that incorporates
    temporal information into MER systems. We advocate
    that the organization of auditory memory places
    time at the core of the link between musical meaning and
    musical emotions. The main goal is to motivate MER researchers
    to develop an improved class of systems capable
    of overcoming the limitations of the BOF approach and
    coping with the inherent complexity of musical emotions.
    Original languageEnglish
    Title of host publicationProceedings of the 15th Conference of the International Society for Music Information Retrieval (ISMIR 2014)
    Pages331-336
    DOIs
    Publication statusPublished - 2014
    EventInternational Society for Music Information Retrieval Conference - Taipei, Taiwan, Province of China
    Duration: 27 Oct 201431 Oct 2014

    Conference

    ConferenceInternational Society for Music Information Retrieval Conference
    Country/TerritoryTaiwan, Province of China
    CityTaipei
    Period27/10/1431/10/14

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