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Automatic Annotation of Musical Audio for Interactive ...

    https://aubio.org/phd/thesis/brossier06thesis.pdf
    ested in developing a robust layer for the automatic annotation of audio signals, to be used in various applications, from music search engines to interactive installa-tions, and in various contexts, from embedded devices to audio content servers. We propose adaptations of existing signal processing techniques to a real time context. Amongst these annotation techniques, we …

Automatic Annotation of Musical Audio for Interactive ...

    https://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.169.4504
    Automatic Annotation of Musical Audio for Interactive Applications (2006) ... {Brossier06automaticannotation, author = {Paul M. Brossier}, title = { Automatic Annotation of Musical Audio for Interactive Applications }, year = {2006}} Share. OpenURL . Abstract. Keyphrases. digital music philosophy electronic version ...

Automatic Annotation of Musical Audio for Interactive ...

    https://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.463.1167
    Automatic Annotation of Musical Audio for Interactive Applications (2006) Cached. Download Links [www.elec.qmul.ac.uk] [aubio.org] Save to List; ... musical audio interactive application automatic annotation helpful guidance doctor mark plumbley standard referencing practice

Automatic Music Annotation

    https://cseweb.ucsd.edu/~elkan/254spring05/annotateMusic.pdf
    from audio content. Recently, a number of automatic annotation systems have been developed that attempt to classify samples of low-level audio into categories based on high-level concepts. We consider low-level audio to be any bitstream that represents sound. High-level musical concepts include genre, instrumentation, emotion, and tempo.

Automatic Music Annotation

    https://cseweb.ucsd.edu/~elkan/254spring05/Turnbull.pdf
    Automatic Music Annotation Most commercial systems (Apple Itunes, Amazon, AMG Allmusic, Moodlogic) use human experts or collaborative filtering to annotate music. A number of research systems have been developed that automatically annotate music. Automatic annotation uses low-level audio content to describe high-level musical concepts.

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