Natural language research announcements

[Rajhans Samdani <rsamdan2 AT illinois.edu>]

Talk relevant to the AIIS audience. Please see below.

Thanks!
Rajhans


Rajhans Samdani,
Graduate Student,
Dept. of Computer Science,
University of Illinois at Urbana-Champaign.

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• From: "Runck, Kathleen Ann" <krunck AT illinois.edu>
• To: "Runck, Kathleen Ann" <krunck AT illinois.edu>, Announce <announce AT cs.illinois.edu>, "Cimarusti, Scott V" <cimarust AT illinois.edu>, Clerical <clerical AT cs.illinois.edu>, CS Grads <cs-grads AT cs.illinois.edu>, Faculty <faculty AT cs.illinois.edu>, "La Montagne, Jennifer C" <jsandone AT illinois.edu>, "MacGregor, Andrew James" <macgregr AT illinois.edu>, "McElroy, Rhonda Kay" <rmcelroy AT illinois.edu>, Postdocs <postdocs AT cs.illinois.edu>, "Schaefer, Melinda M" <mschaefr AT illinois.edu>, "Snir, Marc" <snir AT illinois.edu>
• Subject: [cs-grads] REMINDER: CS Colloquium Seminar - Paris Smaragdis, CS/ECE UIUC
• Date: Mon, 8 Nov 2010 08:23:24 -0600
• Accept-language: en-US
• Acceptlanguage: en-US
• Importance: high
• List-archive: <http://lists.cs.uiuc.edu/mailman/private/cs-grads>
• List-id: Department of Computer Science Grads <cs-grads.cs.uiuc.edu>

 

University of Illinois at Urbana-Champaign

Department of Computer Science

Thomas M. Siebel Center for Computer Science

201 North Goodwin Avenue

Urbana, Illinois 61801-2302 USA

 

CS COLLOQUIUM SEMINAR

 AND GRADUATE SEMINAR

 

Paris Smaragdis

Computer Science and Electrical and Computer Engineering

University of Illinois

Monday, November 8, 2010

4pm, 1404 Siebel Center

 

Making Machines Listen

 

Abstract: Enabling machines to perceive the world using various modalities is one of the holy grails of artificial intelligence.  In this talk I will present some research on creating machines that do as such by listening.  I will discuss some of the unique difficulties in this field and present a thread of research which spans a range of computational techniques relating to signal processing, machine learning and cryptography.  This research will be introduced in the context of classic audio problems such as time/frequency analysis, music transcription, source separation, recognition in mixtures and more. I'll show how this work generalizes and finds applications to other domains, such as computer vision, and what it takes to move it from the whiteboard to the real-world.

 

Bio: Paris Smaragdis is currently an assistant professor in the CS and ECE departments in the University of Illinois at UC.  He completed his graduate studies in perceptual computing at MIT in 2001, and he then held appointments at Mitsubishi Electric Research Labs and Adobe Systems as a research scientist.  His research centers in the intersection between machine learning and signal processing, especially as they apply to audio problems.

 

 

 

Kathy Runck

Office Support Specialist

Department of Computer Science

Academic Office/Graduate Programs

1210 Siebel Center

201 N. Goodwin

Urbana, IL  61801

phone (217) 333-4197

fax (217) 244-6073

 

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