Cognitive Features for Cover Song Retrieval and Analysis

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    Abstract

    This article presents the first results of a study on large-scale automatic identification of derivative works in early popular music. We present a music cognition-inspired approach to (audio) version detection that is (1) tailored for early 20th century recordings, (2) based on simple, index- able feature representations and (3) allows for interpretation of the resulting musical descriptions. For this purpose, two new descriptor types are introduced: pitch bi-histograms and chroma correlation coefficients.
    Original languageEnglish
    Publication statusPublished - Jun 2014
    EventInternational Workshop on Folk Music Analysis - Istanbul, Turkey
    Duration: 12 Jun 201413 Jun 2014

    Conference

    ConferenceInternational Workshop on Folk Music Analysis
    Country/TerritoryTurkey
    CityIstanbul
    Period12/06/1413/06/14

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