Thursday, Jan 11, 2007

7 p.m. at the Georgia Tech Music Department (Couch Building 207)

Directions are here.

Daniel Iglesia

TempoRide and Ghost Jockey

Some recent audio/video projects that use generative processes to yield surprising results. "Temporide" does a pixel-by-pixel delay on a video, showing many time lapses simultaneously. Spectral splicing, morphing, and reconstitution creates new audio based out of what you feed it. And "Ghost Jockey" generates a continuous stream of mashup audio and video.

Daniel Iglesia makes electronic music and video, or more accurately, is lazy and creates machines that do it for him. Much of his work has automatic/ generative/ algorithmic processes to emulate human creativity, or to aid him in an improvisational setting. He does concert music, A/V installations and performance systems, network art projects, pop music, collaborations with other disciplines, and almost anything else. He is a Teaching Fellow at Columbia's Computer Music Center. Recent appearances at Rose Studio at Lincoln Center, The Stone, Eyebeam Gallery, Ontological-Hysteric Theatre, Merce Cunningham Studio, IMEB (Bourges), CCMIX (Paris), the Delancey, and many more. 

 Mitch Parry

Blind Source Separation in Music


In this talk, I will present my work on sound source separation with applications for music. Music is repetitious in nature and this repetition actually informs the source separation process. I derive an automated statistical approach based entirely on repetitive structure to separate sound sources. In addition, spectrograms contain time-frequency structure. This structure may be factored into note-like components containing a spectral shape modulated by an amplitude envelope. When multiple spectrograms are available, I show how to incorporate this additional spatial information to separate components and combine them to form the original source signals.

Mitchell Parry is a Ph.D. candidate in the College of Computing working with Irfan Essa. His research interests include source separation, signal processing, visualization and music information retrieval. He majored in computer science with a minor in electrical engineering at the University of Virginia before coming to Georgia Tech where he received his masters in computer science with a specialization in computer graphics and visualization. 

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