Oxford Wave Research are pleased to announce the promotion of Dr Finnian Kelly to Principal Research Scientist.
Since joining Oxford Wave Research in 2016 as a Senior Research Scientist, Finnian has made significant contributions to the development of our speaker recognition, speaker diarization and speech & audio processing systems. He has successfully led the OWR team in two NIST speaker recognition evaluations. Finnian was with the Sigmedia Research Group at Trinity College, Dublin where he completed his PhD in 2013 and is a Research Associate with the Center for Robust Speech Systems (CRSS) at The University of Texas at Dallas. Finnian has published in (and acts as a reviewer for) many top-tier international conferences and journals, and has been an invited speaker at research labs in Europe and the US. Finnian is a member of the research committee of the International Association for Forensic Phonetics and Acoustics (IAFPA), and an affiliate member of the NIST OSAC Speaker Recognition subcommittee.
We are delighted that he will now be heading OWR’s research and leading us into new and exciting areas of work.
The team at Oxford Wave Research congratulate Finnian on his new role and look forward to working closely with him on future developments.
Oxford Wave Research are delighted to be named partners of with the recently opened Centre for Forensic Phonetics and Acoustics (CFPA) at the University of Zurich. Opened on the 6th March 2019 the CFPA brings together research from a range of fields to address all areas of voice recognition in relation to forensic investigation.
Led by Prof. Volker Dellwo this centre will combine world-class research into forensic speaker recognition, voice disguise and voice line-ups with forensic services such as speaker profiling, speaker comparison, transcription, audio authentication and audio enhancement for both prosecution & defence.
As all great collaborations should, this one started with a few nice glasses in 2017 in Zurich.
‘VOCALISE’ – (Voice Comparison and Analysis of the Likelihood of Speech Evidence) is a forensic automatic speaker recognition system, built for the Windows platform, that allows users to perform comparisons using both ‘traditional’ forensic phonetic parameters and ‘automatic’ spectral features in a semi- or fully automatic way.
‘CLEAVER’ (Cluster Estimation And Versatile Extraction of Regions) software provides an easy means of separating out the speech of individual speakers from a recording that contains more than one speaker. It allows the user to either extract only the speech of the person of interest and highlights the parts of the audio where that person is speaking.
Calculating and plotting performance metrics for speaker and biometric recognition made easy.
Oxford Wave Research presents the Bio-Metrics software for the Windows platform that makes evaluating the performance of your speaker, biometric recognition systems, or algorithms easy and straightforward.
MADCAT is an innovative content search, duplication and time synchronisation system for audio and video files. It is based on the principle that if two or more different recordings contain the same acoustic events, it is possible to search for and identify the parts of the audio that are overlapping and to provide a precise time of match.