R&D Software Developer
Tom works with the company’s Research & Development team, most recently focusing on the development of calibration tools for new products as well as performance assessment of OWR voice biometrics solutions. Tom has worked in diverse roles including Expert in Emerging Biometrics at the National Crime Agency, where he established best practices for the newly-formed Voice Analytics department, and Editor at Turtle Canyon Media, where he provided offline postproduction audio and video editing for short films. Tom obtained an undergraduate degree in German and Linguistics from Exeter College, Oxford. Thereafter Tom studied for an MA in Film Studies at King’s College London and more recently an MSc in Forensic Speech Science at the University of York. Tom’s MSc dissertation tested the performance of Long-Term Formant Distribution-based Semi-Automatic Speaker Recognition systems, comparing systems which extracted formants using traditional Linear Predictive Coding methods with systems employing a recently developed formant estimation tool, called DeepFormants, which uses a Deep Neural Network. As such, Tom has extensive experience in audio-visual editing and enhancement, (semi-)automatic speaker recognition system development, forensic phonetics and data analysis.
Alankar Aryal Atreya
External Consultant, Previously Research Engineer at OWR
Alankar Aryal Atreya worked as a research engineer at Oxford Wave Research from 2013 to 2018 and developed many of our latest products in the areas of audio fingerprint analysis, audio processing and speaker recognition. Alankar received his bachelor’s degree in Computer Science and Engineering from Anna University, India in 2009. He brings a wealth of software development experience having previously worked as a software developer in Hitech Valley iNet Ltd. and IT Himalaya, based in Nepal. In 2013 he received his Dipl.-Ing. Degree working on his master’s thesis on “Combining multiple tracking approach to improve performance” at the Institute of Information Technology, Alpen-Adria Universität, Austria. He has won the best student award in EPiCS video contest organised by “European Proprioception in Computing Systems” (EPiCS). His main areas of interest are speaker recognition, audio processing, image processing, object tracking and computer vision.
His LinkedIn profile can be found here.
- Alexander Carver (staff, QA and software testing)
- Andrea Fröhlich (internship)
- Bence Halpern (internship)
- Tom Iszatt (staff, QA and customer experience specialist)