| AudioSet: An ontology and human-labeled dataset for audio events JF Gemmeke, DPW Ellis, D Freedman, A Jansen, W Lawrence, RC Moore, ... IEEE ICASSP, 2017 | 2357 | 2017 |
| CNN architectures for large-scale audio classification S Hershey, S Chaudhuri, DPW Ellis, JF Gemmeke, A Jansen, RC Moore, ... 2017 ieee international conference on acoustics, speech and signal …, 2017 | 2249 | 2017 |
| 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 | 434 | 2011 |
| Compressive sensing for missing data imputation in noise robust speech recognition JF Gemmeke, H Van Hamme, B Cranen, L Boves IEEE Journal of selected topics in Signal Processing 4 (2), 272-287, 2010 | 155 | 2010 |
| An exemplar-based NMF approach to audio event detection JF Gemmeke, L Vuegen, P Karsmakers, B Vanrumste 2013 IEEE workshop on applications of signal processing to audio and …, 2013 | 129 | 2013 |
| Speech enhancement under low SNR conditions via noise estimation using sparse and low-rank NMF with Kullback–Leibler divergence M Sun, Y Li, JF Gemmeke, X Zhang IEEE/ACM Transactions on Audio, Speech, and Language Processing 23 (7), 1233 …, 2015 | 106 | 2015 |
| Compositional models for audio processing: Uncovering the structure of sound mixtures T Virtanen, JF Gemmeke, B Raj, P Smaragdis IEEE Signal Processing Magazine 32 (2), 125-144, 2015 | 95 | 2015 |
| Active-set Newton algorithm for overcomplete non-negative representations of audio T Virtanen, JF Gemmeke, B Raj IEEE Transactions on Audio, Speech, and Language Processing 21 (11), 2277-2289, 2013 | 82 | 2013 |
| Using sparse representations for missing data imputation in noise robust speech recognition JF Gemmeke, B Cranen 2008 16th European Signal Processing Conference, 1-5, 2008 | 80 | 2008 |
| Exemplar-based processing for speech recognition: An overview TN Sainath, B Ramabhadran, D Nahamoo, D Kanevsky, ... IEEE Signal Processing Magazine 29 (6), 98-113, 2012 | 72 | 2012 |
| Noise robust exemplar-based connected digit recognition JF Gemmeke, T Virtanen 2010 IEEE International Conference on Acoustics, Speech and Signal …, 2010 | 70 | 2010 |
| Non-negative matrix factorization for highly noise-robust asr: To enhance or to recognize? F Weninger, M Wöllmer, J Geiger, B Schuller, JF Gemmeke, ... 2012 IEEE International Conference on Acoustics, Speech and Signal …, 2012 | 49 | 2012 |
| An MFCC-GMM approach for event detection and classification L Vuegen, BVD Broeck, P Karsmakers, JF Gemmeke, B Vanrumste, ... IEEE workshop on applications of signal processing to audio and acoustics …, 2013 | 44 | 2013 |
| Large-scale audio event discovery in one million youtube videos A Jansen, JF Gemmeke, DPW Ellis, X Liu, W Lawrence, D Freedman 2017 IEEE International Conference on Acoustics, Speech and Signal …, 2017 | 41 | 2017 |
| Non-negative matrix deconvolution in noise robust speech recognition A Hurmalainen, J Gemmeke, T Virtanen 2011 IEEE International Conference on Acoustics, Speech and Signal …, 2011 | 40 | 2011 |
| Coupled dictionaries for exemplar-based speech enhancement and automatic speech recognition D Baby, T Virtanen, JF Gemmeke IEEE/ACM transactions on audio, speech, and language processing 23 (11 …, 2015 | 38 | 2015 |
| Sparse imputation for large vocabulary noise robust ASR JF Gemmeke, B Cranen, U Remes Computer Speech & Language 25 (2), 462-479, 2011 | 38 | 2011 |
| Noise reduction through compressed sensing JF Gemmeke, B Cranen Brisbane, Australia: ISCA, 2008 | 38 | 2008 |
| Using sparse representations for exemplar based continuous digit recognition J Gemmeke, L ten Bosch, L Boves, B Cranen 2009 17th European Signal Processing Conference, 1755-1759, 2009 | 37 | 2009 |
| Memory-enhanced neural networks and NMF for robust ASR JT Geiger, F Weninger, JF Gemmeke, M Wöllmer, B Schuller, G Rigoll IEEE/ACM Transactions on Audio, Speech, and Language Processing 22 (6), 1037 …, 2014 | 35 | 2014 |
Tuomas VirtanenTampere UniversityVerifierad e-postadress på tuni.fi
