My main research interests include
- speech recognition: factorised adaptation of data in various acoustic and linguistic conditions;
- computational auditory scene analysis: sound source localisation and separation inspired by the human auditory system; and
- music information retrieval: inference from audio such as genres, instrument detection, etc., skills which are typically effortless to humans.
- MSc Artificial Intelligence, University of Edinburgh, 2015
- BMus Music & Sound Recording (Tonmeister), IoSR, University of Surrey, 2014
- Various modules: calculus, linear algebra, electromagnetism and introductory psychology, University of Oslo, 2010
I have previously worked as a theatre consultant for Charcoalblue, advising on all aspects of audiovisual and acoustics design; and as a software tester and mechanic for the stage technology company Visual act.
- J. Fainberg, P. Bell, M. Lincoln and S. Renals, “Improving children’s speech recognition through out-of-domain data augmentation”, Proc. Interspeech, San Francisco, USA, September 2016
- J. Fainberg, “Improving Children’s Speech Recognition through Out of Domain Data Augmentation”, Master’s thesis, University of Edinburgh, Edinburgh, 2015
- J. Fainberg, “Sound Source Separation in Reverberant Environments using Interaural Coherence in a Probabilistic Model of Localisation”, Bachelor’s thesis (Poster), University of Surrey, Guildford, 2014