Machine Noise Professors in Global

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Krister Larsson
Chalmers University of Technology Sweden
machine noise
community noise
building acoustics
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Marion Burgess
University of New South Wales Australia
environmental noise
occupational noise measurement
acoustics
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Colin Novak
University of Windsor Canada
environmental noise
sound quality
noise vibration harshness
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Christian Pedersen
Aalborg University Denmark
noise assessment
low-frequency noise
environmental acoustics
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Jens Forssén
Chalmers University of Technology Sweden
environmental noise
urban acoustics
outdoor acoustics
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Giacomo Squicciarini
University of Southampton United Kingdom
railway noise
acoustics
sound generation
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Thushara Abhayapala
Australian National University Australia
active noise control
acoustics
room acoustics
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Hassan Azad
University of Florida United States of America
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noise & environmental acoustics
building acoustics
room acoustics
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Elias Zea Marcano
KTH Royal Institute of Technology Sweden
noise source separation
acoustics
room acoustics
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Cheol-ho Jeong
Technical University of Denmark Denmark
acoustics
environmental acoustics
room acoustics
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Stefan Bilbao
University of Edinburgh United Kingdom
acoustics
room acoustics
sound synthesis
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Jie Liu
Carleton University Canada
machinery condition monitoring
instrumentation
machine learning
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Andre De Almeida
University of New South Wales Australia
sound production
voice acoustics
musical acoustics
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Philippe Depalle
McGill University Canada
sound processing
sound analysis
sound synthesis
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Sten Ternström
KTH Royal Institute of Technology Sweden
music acoustics
voice acoustics
audio technology
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Peter Nordqvist
KTH Royal Institute of Technology Sweden
acoustics
speech recognition
audio processing
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Holger Bovbjerg
Aalborg University Denmark
acoustics
audio processing
machine learning
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Zheng Liu
University of British Columbia Canada
instrumentation
machine vision
machine learning
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Jeff Bilmes
University of Washington United States of America
speech recognition
audio processing
machine learning
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Amir-hossein Karimi
University of Waterloo Canada
human-machine collaboration
human-machine teaming
machine learning
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Timo Gerkmann
University of Hamburg Germany
hearing instruments
audio processing
machine learning
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