Tuomas Virtanen
TitleCited byYear
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
10112007
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
3832011
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
2952016
Acoustic event detection in real life recordings
A Mesaros, T Heittola, A Eronen, T Virtanen
18th European Signal Processing Conference, 1267-1271, 2010
2002010
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
1992017
Separation of drums from polyphonic music using non-negative matrix factorization and support vector machine
M Helén, T Virtanen
Proc. EUSIPCO 2005, 2005
1892005
Metrics for Polyphonic Sound Event Detection
A Mesaros, T Heittola, T Virtanen
Applied Sciences 6 (6), 162, 2016
1692016
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
1622015
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
1592010
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
1592008
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
1582016
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
1572017
Sound source separation using sparse coding with temporal continuity objective
T Virtanen
Proc. ICMC 3, 231-234, 2003
1532003
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
1502013
Techniques for noise robustness in automatic speech recognition
T VIRTANEN, B SINGH, Rita, RAJ
Wiley, 2012
1402012
Non-negative matrix factorization based compensation of music for automatic speech recognition.
B Raj, T Virtanen, S Chaudhuri, R Singh
INTERSPEECH, 717-720, 2010
1382010
Musical Instrument Recognition in Polyphonic Audio Using Source-Filter Model for Sound Separation.
T Heittola, A Klapuri, T Virtanen
ISMIR, 327-332, 2009
1362009
Separation of harmonic sound sources using sinusoidal modeling
T Virtanen, A Klapuri
Acoustics, Speech, and Signal Processing, 2000. ICASSP'00. Proceedings. 2000 …, 2000
1342000
Voice Conversion Using Dynamic Kernel Partial Least Squares Regression
E HELANDER, H SILEN, T VIRTANEN, M GABBOUJ
IEEE Transactions on Audio, Speech, and Language Processing 20 (3), 806-817, 2012
1142012
Exemplar-based sparse representation with residual compensation for voice conversion
Z Wu, T Virtanen, ES Chng, H Li
IEEE/ACM Transactions on Audio, Speech, and Language Processing 22 (10 …, 2014
1122014
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