students in the Northwestern University Interactive
Audio Lab develop k

ey technologies that let composers
researchers performers and casual

listeners retrieve study
edit and interact with audio in new ways. Th

is talk will provide
an overview of recent work in the lab. Projects in

clude: a music
search engine that finds a song from a melody sung to th

e
computer (audio database search); a cell phone based karaoke
gam

e (social computing); a system that learns to recognize sounds
from an
audio mixture and uses its learned knowledge to label new
recordings (

machine learning and source identification); a system
to separate out

individual audio sources from a mixture of sounds
(source separation);
and a system to automatically personalize the
user interface of audio

production software by mapping human
descriptors onto acoustic features
(human computer interaction).

Speaker Bio:
Bryan Pardo is an ass

istant professor in the Northwestern
University Department of Electrica

l Engineering and Computer
Science with appointments in the Music Cogn

ition program and
the Center for Technology and Social Behavior. Prof.
Pardo
received a M. Mus. in Jazz in 2001 and a Ph.D. in Computer
S

cience in 2005 both from the University of Michigan. He has
developed

speech software for the Speech and Hearing department
of the Ohio State
University statistical software for SPSS and
worked as a machine lear

ning researcher for General Dynamics.
While finishing his doctorate he
taught in the Music Department
of Madonna University. When he''s not p

rogramming writing or
teaching he performs throughout the United Stat

es on saxophone
and clarinet at venues such as Albion College the Chic