Tuomas Virtanen
Tuomas Virtanen
Tampere University
Verifierad e-postadress på tuni.fi - Startsida
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Monaural sound source separation by nonnegative matrix factorization with temporal continuity and sparseness criteria
T Virtanen
IEEE Transactions on Audio, Speech, and Language Processing 15 (3), 1066-1074, 2007
11782007
TUT database for acoustic scene classification and sound event detection
A Mesaros, T Heittola, T Virtanen
2016 24th European Signal Processing Conference (EUSIPCO), 1128-1132, 2016
4962016
Exemplar-based sparse representations for noise robust automatic speech recognition
JF Gemmeke, T Virtanen, A Hurmalainen
IEEE Transactions on Audio, Speech, and Language Processing 19 (7), 2067-2080, 2011
4192011
DCASE 2017 challenge setup: Tasks, datasets and baseline system
A Mesaros, T Heittola, A Diment, B Elizalde, A Shah, E Vincent, B Raj, ...
DCASE 2017-Workshop on Detection and Classification of Acoustic Scenes and …, 2017
3982017
Convolutional recurrent neural networks for polyphonic sound event detection
E Cakır, G Parascandolo, T Heittola, H Huttunen, T Virtanen
IEEE/ACM Transactions on Audio, Speech, and Language Processing 25 (6), 1291 …, 2017
3902017
Metrics for Polyphonic Sound Event Detection
A Mesaros, T Heittola, T Virtanen
Applied Sciences 6 (6), 162, 2016
3902016
Recurrent neural networks for polyphonic sound event detection in real life recordings
G Parascandolo, H Huttunen, T Virtanen
Acoustics, Speech and Signal Processing (ICASSP), 2016 IEEE International …, 2016
3032016
Acoustic event detection in real life recordings
A Mesaros, T Heittola, A Eronen, T Virtanen
18th European Signal Processing Conference, 1267-1271, 2010
2942010
Polyphonic sound event detection using multi label deep neural networks
E Cakir, T Heittola, H Huttunen, T Virtanen
2015 international joint conference on neural networks (IJCNN), 1-7, 2015
2732015
A multi-device dataset for urban acoustic scene classification
A Mesaros, T Heittola, T Virtanen
arXiv preprint arXiv:1807.09840, 2018
2212018
Detection and Classification of Acoustic Scenes and Events: Outcome of the DCASE 2016 Challenge
A Mesaros, T Heittola, E Benetos, P Foster, M Lagrange, T Virtanen, ...
IEEE/ACM Transactions on Audio, Speech, and Language Processing 26 (2), 379-393, 2018
2192018
Context-dependent sound event detection
T Heittola, A Mesaros, A Eronen, T Virtanen
EURASIP Journal on Audio, Speech, and Music Processing 2013 (1), 1, 2013
2162013
Voice conversion using partial least squares regression
E Helander, T Virtanen, J Nurminen, M Gabbouj
Audio, Speech, and Language Processing, IEEE Transactions on 18 (5), 912-921, 2010
2082010
Separation of drums from polyphonic music using non-negative matrix factorization and support vector machine
M Helén, T Virtanen
Proc. EUSIPCO 2005, 2005
2032005
Sound event localization and detection of overlapping sources using convolutional recurrent neural networks
S Adavanne, A Politis, J Nikunen, T Virtanen
IEEE Journal of Selected Topics in Signal Processing 13 (1), 34-48, 2018
1902018
Bayesian extensions to non-negative matrix factorisation for audio signal modelling
T Virtanen, AT Cemgil, S Godsill
Acoustics, Speech and Signal Processing, 2008. ICASSP 2008. IEEE …, 2008
1822008
Deep Learning for Audio Signal Processing
H Purwins, B Li, T Virtanen, J Schlüter, SY Chang, T Sainath
IEEE Journal of Selected Topics in Signal Processing 13 (2), 206-219, 2019
1772019
Techniques for noise robustness in automatic speech recognition
T VIRTANEN, B SINGH, Rita, RAJ
Wiley, 2012
1732012
Sound source separation using sparse coding with temporal continuity objective
T Virtanen
Proc. ICMC 3, 231-234, 2003
1682003
Musical Instrument Recognition in Polyphonic Audio Using Source-Filter Model for Sound Separation.
T Heittola, A Klapuri, T Virtanen
ISMIR, 327-332, 2009
1632009
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Artiklar 1–20