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  • How's your gamma mixture and non-negative matrix factorization?

    Title: Techniques for Machine Understanding of Live Drum Performances

    Speaker: Eric Battenberg (http://www.eecs.berkeley.edu/~ericb/)

    Advisors: David Wessel and Nelson Morgan



    Date: Monday, December 10, 2012

    Time: 11am - 12pm

    Room: 373 Soda Hall

    http://www.eecs.berkeley.edu/Directions/#soda



    Abstract:



    This talk will cover machine listening techniques for the automated

    real-time analysis of live drum performances. Onset detection, drum

    detection, beat tracking, and drum pattern analysis are combined into a

    system that provides rhythmic information useful in performance analysis,

    synchronization, and retrieval. The talk will focus on the drum detection

    and pattern analysis components of the system.



    For drum detection, a gamma mixture model is used to compute multiple

    spectral templates per drum onto which onset events can be decomposed

    using a technique based on non-negative matrix factorization. Unlike

    classification-based approaches to drum detection, this approach provides

    amplitude information which is invaluable in the analysis of rhythm.



    The drum pattern analysis component uses a generatively pre-trained deep

    neural network in order to estimate high-level rhythmic information. The

    network is tested with beat alignment tasks, including downbeat detection,

    and significantly reduces alignment errors compared with a commonly used

    pattern correlation method.
    "In a time of universal deceit - telling the truth is a revolutionary act."- George Orwell

    My music: http://www.oranjproductions.com

    The first website dedicated to the the baritone guitar: http://www.thebaritoneguitar.com

  • #2
    We could use a a gamma mixture model to compute multiple spectral templates per drum onto which onset events can be decomposed, using a technique based on non-negative matrix factorization. This would enable us to utilize onset detection, drum detection, beat tracking, and drum pattern analysis, which could then be combined into a system that provides rhythmic information useful in performance analysis, synchronization, and retrieval. We could then employ a generatively pre-trained deep neural network in order to estimate high-level rhythmic information.



    Or we could say, "Hey, let's get a drummer and and some tube mics and go for it!"
    Ken Lee on 500px / Ken's Photo Store / Ken Lee Photography Facebook Website / Blueberry Buddha Studios / Ajanta Palace Houseboat - Kashmir / Hotel Green View - Kashmir / Eleven Shadows website / Ken Lee Photography Blog / Akai 12-track tape transfers / MY NEW ALBUM! The Mercury Seven

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    • #3
      I realize that more people are gonna wanna party with someone utilizing a gamma mixture model to compute multiple spectral templates using techniques based on non-negative matrix factorization. We're all wild that way.



      But once in a while, consider a meat puppet swingin' sticks, just for ****************s and giggles.
      Ken Lee on 500px / Ken's Photo Store / Ken Lee Photography Facebook Website / Blueberry Buddha Studios / Ajanta Palace Houseboat - Kashmir / Hotel Green View - Kashmir / Eleven Shadows website / Ken Lee Photography Blog / Akai 12-track tape transfers / MY NEW ALBUM! The Mercury Seven

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      • #4






        Quote Originally Posted by Hard Truth
        View Post

        Title: Techniques for Machine Understanding of Live Drum Performances

        Speaker: Eric Battenberg (http://www.eecs.berkeley.edu/~ericb/)

        Advisors: David Wessel and Nelson Morgan



        Date: Monday, December 10, 2012

        Time: 11am - 12pm

        Room: 373 Soda Hall

        http://www.eecs.berkeley.edu/Directions/#soda



        Abstract:



        This talk will cover machine listening techniques for the automated

        real-time analysis of live drum performances. Onset detection, drum

        detection, beat tracking, and drum pattern analysis are combined into a

        system that provides rhythmic information useful in performance analysis,

        synchronization, and retrieval. The talk will focus on the drum detection

        and pattern analysis components of the system.



        For drum detection, a gamma mixture model is used to compute multiple

        spectral templates per drum onto which onset events can be decomposed

        using a technique based on non-negative matrix factorization. Unlike

        classification-based approaches to drum detection, this approach provides

        amplitude information which is invaluable in the analysis of rhythm.



        The drum pattern analysis component uses a generatively pre-trained deep

        neural network in order to estimate high-level rhythmic information. The

        network is tested with beat alignment tasks, including downbeat detection,

        and significantly reduces alignment errors compared with a commonly used

        pattern correlation method.




        That sounds really cool.



        No doubt, much of the talk would be over my head, but I love fuzzy logic implementation theory, screw all that binary state stuff.
        .

        music and social links | recent listening

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        • #5





          How's your gamma mixture and non-negative matrix factorization?



          It's a solid 43.
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          • #6
            I hit things with sticks.
            Simplicity, my new album project, is now streamable from my YouTube channel.

            Subscribe, like, and share the links!

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            • #7






              Quote Originally Posted by veracohr
              View Post

              It's a solid 43.




              We always felt your gamma mixture and non-negative matrix factorization was over 40. And you deserve it.
              Ken Lee on 500px / Ken's Photo Store / Ken Lee Photography Facebook Website / Blueberry Buddha Studios / Ajanta Palace Houseboat - Kashmir / Hotel Green View - Kashmir / Eleven Shadows website / Ken Lee Photography Blog / Akai 12-track tape transfers / MY NEW ALBUM! The Mercury Seven

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