Low power architectures for embedded automatic speech recognition
Research Engineer: Ed Dunnachie
Sponsor: Dr David Crawford, Epson Scotland Design Centre
Academic Supervision: TBC
Embedded Automatic Speech Recognition (EASR) presents a number of challenging technical problems to be overcome, one of which is the need to strike an appropriate balance between the complexity required to achieve reliable speech recognition, and keeping the cost and power consumption to a minimum. This project will investigate low-power architectures for EASR, and will encompass algorithmic optimisation as well as hardware/software partitioning techniques.
Research
- Research Staff
- Partner Projects
- EngD Research
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- Steven Alexander
- Mohamed Anas
- Edward Brown
- Robin Bruce
- Andrew Burnside
- Robin Collings
- Steve Collins
- Graeme Cunningham
- Daniel Denning
- Ed Dunnachie
- Phillip Ferguson
- Michael Gilroy
- Derek Graham
- Rahman Hassan
- Stephen Henry
- Kristian Hildingsson
- Graeme Kelly
- Tony Kirkham
- Anna Maria Ksiezopolska
- Jasmine Lam
- Michael McErlean
- Martin McKenny
- Graham MacKerron
- Duncan McLaren
- Mark McKeown
- Angus Nicholson
- Kurian Oommen
- Michael Osoba
- Thomas Schlipf
- Oliver Sims
- Peter Sinka
- Paul Smith
- Cade Wells
- Asier Goikoetxea Yanci
- Student Profiles

