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Dive into the research topics where Jordan Hochenbaum is active.

Publication


Featured researches published by Jordan Hochenbaum.


Computer Music Journal | 2011

The machine orchestra: An ensemble of human laptop performers and robotic musical instruments

Ajay Kapur; Michael Darling; Dimitri Diakopoulos; Jim W. Murphy; Jordan Hochenbaum; Owen Vallis; Curtis Bahn

This article introduces the Machine Orchestra, a mixed ensemble of human and robotic performers. The Orchestra is coordinated through technical and musical classes at the California Institute of the Arts (CalArts), where the pedagogical focus is to combine the musical elements of a laptop orchestra with the technical skills required to create a robotic ensemble. As of this publication, seven electromechanical instruments have been developed by members and collaborators of the Orchestra. The ensemble has given notable international premieres and performances at venues including the Roy and Edna Disney/CalArts Theater (REDCAT) in Los Angeles and 01SJ, the biennial music and arts festival in San Jose, California. Well-known researchers and performers are invited to participate in the Orchestra to bring novel technical, musical, and collaborative ideas to the ensemble. In this article we describe the design and production of seven robotic instruments, details on the visual and sonic aesthetic of the ensemble, technical considerations of the computer network employed in performance, and information on an assortment of compositions in the current repertoire.


Organised Sound | 2012

Building on the foundations of network music: Exploring interaction contexts and shared robotic instruments*

Owen Vallis; Dimitri Diakopoulos; Jordan Hochenbaum; Ajay Kapur

Historically, network music has explored the practice and theory of interconnectivity, utilising the network itself as a creative instrument. The Machine Orchestra (TMO) has extended this historical idea by developing the custom software suite Signal, and creating a shared, social instrument consisting of musical robotics. Signal is a framework for musical synchronisation and data sharing, designed to support the use of musical robotics in an attempt to more fully address ideas of interconnectivity and embodied performance. Signal, in combination with musical robotics, also facilitates the exploration of interaction contexts, such as at the note level, score level and sound-processing level. In this way, TMO is simultaneously building upon the historical contributions and developing aesthetics of network music.


international symposium on multimedia | 2008

Extended Interface Solutions for Musical Robotics

Owen Vallis; Jordan Hochenbaum; Ajay Kapur

We present a framework for coupling musical robots with interfaces based on open-ended control architecture, allowing for new and expanded forms of expression. The MahaDeviBot allows for a single performer to simultaneously control up to 12 drums. The ESitar doubles both as a multi input control interface, and as a traditional sitar. Finally, the BricKTable represents a completely open-ended control interface possible of multi user interaction, and real-time control data feedback.


international symposium/conference on music information retrieval | 2009

21st Century Electronica: MIR Techniques for Classification and Performance.

Dimitri Diakopoulos; Owen Vallis; Jordan Hochenbaum; Jim W. Murphy; Ajay Kapur


new interfaces for musical expression | 2010

DESIGNING EXPRESSIVE MUSICAL INTERFACES FOR TABLETOP SURFACES

Jordan Hochenbaum; Owen Vallis; Dimitri Diakopoulos; Jim W. Murphy; Ajay Kapur


new interfaces for musical expression | 2011

The KarmetiK NotomotoN: A New Breed of Musical Robot for Teaching and Performance.

Ajay Kapur; Michael Darling; Jim W. Murphy; Jordan Hochenbaum; Dimitri Diakopoulos; Trimpin


new interfaces for musical expression | 2010

A Shift Towards Iterative and Open-Source Design for Musical Interfaces

Owen Vallis; Jordan Hochenbaum; Ajay Kapur


new interfaces for musical expression | 2012

Drum Stroke Computing: Multimodal Signal Processing for Drum Stroke Identification and Performance Metrics.

Jordan Hochenbaum; Ajay Kapur


new interfaces for musical expression | 2011

Adding Z-Depth and Pressure Expressivity to Tangible Tabletop Surfaces

Jordan Hochenbaum; Ajay Kapur


new interfaces for musical expression | 2010

MULTIMODAL MUSICIAN RECOGNITION

Jordan Hochenbaum; Ajay Kapur; Matthew Wright

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Ajay Kapur

California Institute of the Arts

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Owen Vallis

California Institute of the Arts

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Dimitri Diakopoulos

California Institute of the Arts

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Jim W. Murphy

Victoria University of Wellington

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Colin Honigman

California Institute of the Arts

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Michael Darling

California Institute of the Arts

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Carl Burgin

California Institute of the Arts

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