Sound Recognition Professors in Global

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Richard Mann
University of Waterloo Canada
event recognition
signal processing
computer audio
perception learning
acoustics
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Sanjeev Kulkarni
Princeton University United States of America
signal processing
statistical pattern recognition
machine learning
image processing
video processing
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Victor Sanchez
University of Warwick United Kingdom
signal processing
machine learning
image processing
deep learning
video processing
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Richard Stern
Carnegie Mellon University United States of America
automatic speech recognition
signal processing
auditory perception
acoustics
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Richard Stern
Carnegie Mellon University United States of America
robust automatic speech recognition
signal processing
auditory perception
acoustics
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Andreas Fuglsig
Aalborg University Denmark
speech processing
signal processing
sound enhancement
audio engineering
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Prasanga Samarasinghe
Australian National University Australia
signal processing
noise reduction
spatial audio
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Axel Ahrens
Technical University of Denmark Denmark
auditory perception
audio-visual perception
speech intelligibility
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Joseph Anderson
University of Washington United States of America
sound performance
signal processing
sound composition
acousmatic music
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Stefan Bleeck
University of Southampton United Kingdom
signal processing
speech intelligibility in noise
hearing science
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Hilmi Dajani
University of Ottawa Canada
human machine speech processing
hearing
auditory-inspired signal processing
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Ekta Vats
Uppsala University Sweden
human action recognition
machine learning
optical character recognition
deep learning
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Atsuto Maki
KTH Royal Institute of Technology Sweden
motion object recognition
machine learning
representation learning
deep learning
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Mirco Ravanelli
Concordia University Canada
speech processing
signal processing
machine learning
representation learning
deep learning
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Cheol-ho Jeong
Technical University of Denmark Denmark
computational acoustics
acoustics
speech music perception
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Nazila Fough
University of Glasgow United Kingdom
acoustic communication
object detection
image processing
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Ben Adcock
Simon Fraser University Canada
signal processing
machine learning
image processing
deep learning
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Sardar Ansari
University of Michigan Medical School United States of America
signal processing
machine learning
image processing
deep learning
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Christer Grönlund
Umeå University Sweden
signal processing
image processing
deep learning
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Abdul Bais
University of Regina Canada
signal processing
machine learning
image processing
deep learning
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Reza Argha
University of New South Wales Australia
signal processing
machine learning
image processing
deep learning
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