Center for Computer Research in Music and Acoustics
Summer Workshops 2016 Announced!
Workshops offered this year include: Perceptual Audio Coding, SuperCollider, New Music Controllers, Audio Plug-Ins Designed with Faust, Abjad Workshop, The Composed Instrument, Stompbox Design, Mobile EEG for Auditory Research, Designing Musical Games, and Music Information Retrieval More info
Composing computer music for large numbers of speakers is a daunting process, but it is becoming increasingly practicable. This talk argues for increased attention to the possibilities for this mode of computer music on the part of both creative artists and institutions that support advanced aesthetic research. We first consider the large role that timbre composition has played in computer music, and posit that this research direction may be showing signs of diminishing returns. We next propose spatial computer music for large numbers of speakers as a relatively unexplored area with significant potential, considering reasons for the relative preponderance of timbre composition over spatial composition.
Dan Tramte - #hijackthishashtag  solo untrained voice, objects, edibles, melodica, hacked DJ-hero controller, and live video *world premiere
Santiago Diez-Fischer - sensitive switch  for trombone, cello, and electronics *world premiere
Matthias Kranebitter - packtheboxwithsixdozenofmyliquorjugs  for flute, trombone, and piano
Chris Swithinbank - local bond  for viola, cello, and four performers
On Saturday, May 14, CCRMA is hosting a one-day Music and the Brain symposium. The theme for this year is Music Information Retrieval and Data Science.
This event is FREE and open to the public. Please RSVP if you plan to attend
The event will feature several exciting invited speakers from academia and industry, as well as a student poster session and reception. Current confirmed speakers:
- Elaine Chew, Queen Mary University of London: "Music, mathematics, and models of the ineffable"
- Douglas Eck, Google: "Deep learning on large music datasets"
- Trevor Hastie, Stanford Department of Statistics: "Sparse linear models"
Abstract: Coordinating one’s behaviors with that of another individual is fundamental to successful social interaction. In most instances, such interaction is effortless and efficient, even when we are faced with highly variable and often unpredictable behavioral events. Key to achieving such coordination and cooperation is being able to predict or anticipate the behaviors of other individuals. Research investigating the mechanisms that support behavioral anticipation has traditionally focused on hypotheses formulated to explain how the human nervous system compensates for the temporal delays that occur between the production of a movement and the perception of its outcome (i.e., feedback).
Congratulations to Holly on her cover of this month's Wire! "Holly Herndon - the US sound artist and laptop auteur spreads the faith of the liberating potential of technology."
If you're a subscriber, read more here: http://www.thewire.co.uk/issues/374
Job Title: Audio Visual Engineer