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Speakers:
Jont
B. Allen -- AT&T Labs – Research
From Lord Rayleigh to Shannon: How
do we decode speech?
Timothy
R. Anderson -- Air Force Research Laboratory
Computational Audition at AFRL/HE:
Past, Present and Future
Albert
S. Bregman -- McGill University
Auditory Scene Analysis in Humans:
Implications for Computational Implementations
Guy
J. Brown -- University of Sheffield
Linking Computational Auditory Scene
Analysis with "Missing Data" Recognition of Speech
Douglas
Brungart -- Air Force Research Laboratory
Adaptation to Target Transitions
in the Cocktail Party Problem
Dan
Ellis -- Columbia University
Sound, Mixtures, and Learning
Larry Feth -- The Ohio State University
Psychoacoustics of Dynamic ‘Center-of-Gravity’
Signals
William
M. Hartmann -- Michigan State University
Binaural Coherence: Mathematics,
Sound Localization, and Room Acoustics
Mari R. Jones -- The Ohio State University
The Dynamics of Attending and Scene
Analysis
Hideki
Kawahara -- Wakayama University
Fixed Point Representations for
Very High Quality Speech and Sound Modification Systems
Willard
Larkin -- The Air Force Office of Scientific Research
Welcome Remarks
Roy
D. Patterson -- University of Cambridge
Melodic Pitch and Foveal Audition
Jose
C. Principe -- University of Florida
Innovating Signal Processing Methods
for Computational Audition
Shihab
Shamma -- University of Maryland
The Cortical Representation of Spectral
Dynamics
Richard
Stern -- Carnegie Mellon University
Using Computational Models of Binaural
Hearing to Improve Automatic Speech Recognition Accuracy: Promise,
Progress, and Problems
DeLiang
Wang -- The Ohio State University
Monaural Speech Segregation: Representation,
Harmonicity, and Amplitude Modulation
DeLiang
Wang -- The Ohio State University
Summary Discussion on
Computational Audition
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