Tuomas Virtanen is Professor at Tampere University, Finland, where he is leading the Audio Research Group. He received the M.Sc. and Doctor of Science degrees in information technology from Tampere University of Technology in 2001 and 2006, respectively. He has also been working as a research associate at Cambridge University Engineering Department, UK. He is known for his pioneering work on single-channel sound source separation using non-negative matrix factorization-based techniques, and their application to noise-robust speech recognition and music content analysis. Recently he has done significant contributions to sound event detection in everyday environments. In addition to the above topics, his research interests include content analysis of audio signals in general and machine learning. He has authored more than 200 scientific publications on the above topics, which have been cited more than 16000 times. He has received the IEEE Signal Processing Society 2012 best paper award for his article 'Monaural Sound Source Separation by Nonnegative Matrix Factorization with Temporal Continuity and Sparseness Criteria' as well as seven other best paper awards. He is an IEEE Fellow and recipient of the ERC 2014 Starting Grant and has been a member of the Audio and Acoustic Signal Processing Technical Committee of IEEE Signal Processing Society.
