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.
Dr Bence Halpern
Dr Bence Halpern is an external consultant working on a wide range of deep learning-based speech technology projects. He completed his doctoral thesis titled “Making Speech Technology Accessible for Pathological Speakers” at the University of Amsterdam, TU Delft, and the Netherlands Cancer Institute. In addition, he holds a Biomedical Engineering MEng degree from Imperial College London.
Bence’s primary area of interest lies in understanding what factors contribute to making an audio signal sound natural. With a keen focus on this aspect, he has worked on a diverse range of tasks within the field, including speech enhancement, pathological speech synthesis, pathological speech detection, speech severity evaluation, voice conversion, and automatic speech recognition.
Bence is a recognised expert in his field. He published in numerous top-tier clinical and speech technology conferences and journals, and has been an invited speaker at many research labs in Europe and Japan. He was featured as a speech synthesis expert in the largest Dutch public broadcasting company’s AI song contest webseries.
Sam Kent joined Oxford Wave Research as an apprentice in 2015 and was responsible for the development of quality assurance and testing of our software releases. He was able to script and automate large parts of the testing as well as data gathering and processing for our various products. He quickly ramped up his testing and development skills and has been instrumental in developing a lot of our web- and cloud-based applications as well as iPhone apps. He is the main developer behind OWR’s Apple watch application known as Watch-Me-Record available on the Apple app-store.
In 2017, Sam successfully completed the apprenticeship scheme and was offered a position of junior developer which he accepted. His areas of speciality are in audio processing, app development, web- and cloud-based coding as well as in quality assurance.
- Alexander Carver (staff, QA and software testing)
- Andrea Fröhlich (internship)
- Bence Halpern (internship)
- Tom Iszatt (staff, QA and customer experience specialist)