Tom Barker Email
Machine Learning Lead @ EDGE Sound Research
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Tom Barker Location
- United Kingdom
Tom Barker Work
- Machine Learning Lead @ (September 2025 - Present)
- Machine Learning Engineer @ (June 2024 - June 2025)
- Machine Learning Engineer @ (May 2023 - November 2023)
- Machine Learning Engineer @ (November 2022 - May 2023)
- Applied Research Scientist @ Emotech LTD (June 2021 - November 2022)
- Machine Learning Researcher @ Barker Solutions Ltd. (March 2019 - November 2022)
- Postdoctoral Researcher @ (May 2020 - May 2021)
- Machine Learning Consultant @ (August 2018 - February 2019)
- Algorithm Research Engineer @ Cirrus Logic (August 2017 - August 2018)
- Researcher @ (May 2015 - June 2017)
- Marie Curie Early Stage Researcher @ (May 2012 - May 2015)
- Independent Contractor @ (October 2016 - November 2016)
- PhD Secondment @ Eriksholm Research Centre (August 2014 - November 2014)
- Visiting Researcher @ (December 2013 - March 2014)
- Researcher @ (September 2011 - April 2012)
- Hardware and Testing Engineer (Student Placement) @ (January 2009 - July 2009)
- Subtitle Mastering Engineer (Student Placement) @ Dolby Laboratories (July 2008 - January 2009)
- Live Sound Engineer @ YUSU Entstech (May 2005 - July 2007)
Tom Barker Education
- Tampere University of Technology 1965-2018
Doctor of Science (Signal Processing)
2012-2017 - University of York
Master of Engineering (MEng) (Electronic Engineering and Music Technology Systems)
2006-2011 - Norwich School
Tom Barker Skills
- Acoustics
- Algorithms
- Android SDK
- Audio Engineering
- Auditory Modelling
- Auditory Processing
- Beamforming
- C
- C++
- Deep Learning
- Digital Signal Processing
- LaTeX
- Machine Learning
- Matlab
- NMF
- Pattern Recognition
- Peer Reviews
- Programming
- PyTorch
- Python
- Scientific Writing
- Signal Processing
- Source Separation
- Speech Enhancement
- Speech Processing
- Speech Signal Processing
- TFlite
- Testing
- Technology
- DNS
- Union
- Live Sound
- Modulation
Tom Barker Summary
- Tom Barker, based in United Kingdom, is currently a Machine Learning Lead at EDGE Sound Research. Tom Barker brings experience from previous roles at AudioShake , Syng, Samsung Electronics UK and Emotech LTD. Tom Barker holds a 2012 - 2017 Doctor of Science in Signal Processing @ Tampere University of Technology 1965-2018. With a robust skill set that includes Acoustics, Algorithms, Android SDK, Audio Engineering, Auditory Modelling and more. Tom Barker has 1 emails on RocketReach.
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Top EDGE Sound Research Employees
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Co-Founder
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