Dan Ellis teaches and researches in the area of signal processing
applied to extracting information from sound. Current areas being
researched at
LabROSA include
speech,
environmental audio,
music recordings, and
marine mammal sounds (see the Research Overview).
Ellis graduated from MIT where he was a
research assistant in the
Machine Listening Group
of the Media Lab.
He spent several years as a research scientist at the
International Computer Science Institute
(affiliated with UC Berkeley) and
remains an ICSI external fellow.
General Info
Publications
Talk Slides
CV: Full or
2-page
Bio sketch
Contact info /
Directions
Laboratory for Recognition and Organization of Speech and Audio (LabROSA)
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Teaching + Materials
ELEN E4896 - Music Signal Processing (Spring 2013)
ELEN E4810 - Digital Signal Processing (Fall 2012)
ELEN E6820 - Speech and Audio Processing and Recognition (Spring 2009)
Music Engineering Art Projects
Seminar in Machine Learning and Signal Processing
Short Course on Music Content Analysis by Machine Learning
Student info:
Bulletin,
Signals Roadmap,
Undergrad checklist,
3-2 Course Equivalency Form,
|
Research
Research Overview
The Listening Machine
Separating Speech in Complex Environments
Novel Speech Features
Personal Audio Analysis
Music Content Analysis
(Melody transcription,
Music similarity)
Marine Mammal Sounds
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Resources
AUDITORY list
Matlab Audio Processing Examples
Sound Examples for Projects
Workshops
(CRAC01,SAPA 04,06,08,10,
ISMIR-08
etc.)
SPRACHcore speech recognition software
EESIP Seminar Series
Other local resources...
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Last updated: $Date: 2011/03/04 21:48:40 $
Dan Ellis <dpwe@ee.columbia.edu>
