The Interactive Audio Lab
Welcome to the Interactive Audio Lab, headed by Bryan Pardo. We are a research group in the Electrical Engineering and Computer Science Department of Northwestern University . Our research group is interested in machine perception of sound and audio. We apply machine learning, probabilistic natural language processing, and database search techniques to auditory user interfaces for human-computer interaction, with an emphasis on music and speech prosody. Feel free to take a look at all our current research, our publications and our lab members.Current Projects
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Tunebot A music search engine you can sing to | |
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Karaoke Callout Collaborative on-line fun | |
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Audio Source Separation Amplify the sounds you want, not the ones you don't | |
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Automatic Audio Tagging A foley artist's dream | |
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Adaptive User Interfaces Don't learn the tool, let the tool learn you | |
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Jazz Score / Performance Database Teaching a machine to hear like an improviser | |
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Score Alignment Learn about the music | |
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Music Story Make videos from music |
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Multi-pitch Estimation & Tracking Track more than one pitch at once |
Recent News
- August 2011ToneBoosters has released TB EZQ , a zero-latency, VST-plugin implementation of our 2DEQ audio equilizer work
- June 2011The Midwest Music Information Retrieval Gathering was hosted by our lab on June 24
- May 2011Five conference papers presented by lab members at ICASSP
- April 2011Mark Cartwright receives a NSF Graduate Fellowship, David Little recieved NSF GK-12 fellowship, Zhiyao Duan receives a Chinese Government Award
Announcement
Job Opening
The Interactive Audio Lab is looking for a developer to work on projects involving music search, audio plugins, and mobile app (iOS and Android) development. Experience with several the following technologies would be extremely helpful in this position: SQL, Java, PHP, Tomcat 6 (or 7), iOS 4 (and soon iOS 5), Action Script & Flash Media Server. For more information, contact Bryan Pardo