Sparse Non-negative Matrix Factor 2-D Deconvolution for Automatic Transcription of Polyphonic Music

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    Abstract

    We present a novel method for automatic transcription of polyphonic music based on a recently published algorithm for non-negative matrix factor 2-D deconvolution. The method works by simultaneously estimating a time-frequency model for an instrument and a pattern corresponding to the notes which are played based on a log-frequency spectrogram of the music.
    Original languageEnglish
    Publication statusPublished - 2006

    Keywords

    • music information retrieval
    • non-negative matrix factorization
    • automatic music transcription

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