| Automatic classification of musical instrument sounds P Herrera-Boyer, G Peeters, S Dubnov Journal of New Music Research 32 (1), 3-21, 2003 | 309 | 2003 |
| Instrumental gestural mapping strategies as expressivity determinants in computer music performance JB Rovan, MM Wanderley, S Dubnov, P Depalle Kansei, The Technology of Emotion. Proceedings of the AIMI International …, 1997 | 284 | 1997 |
| Using machine-learning methods for musical style modeling S Dubnov, G Assayag, O Lartillot, G Bejerano Computer 36 (10), 73-80, 2003 | 222 | 2003 |
| Using factor oracles for machine improvisation G Assayag, S Dubnov Soft Computing 8 (9), 604-610, 2004 | 217 | 2004 |
| Omax brothers: a dynamic yopology of agents for improvization learning G Assayag, G Bloch, M Chemillier, A Cont, S Dubnov Proceedings of the 1st ACM workshop on Audio and music computing multimedia …, 2006 | 198 | 2006 |
| Generalization of spectral flatness measure for non-gaussian linear processes S Dubnov IEEE Signal Processing Letters 11 (8), 698-701, 2004 | 178 | 2004 |
| Maximum a-posteriori probability pitch tracking in noisy environments using harmonic model J Tabrikian, S Dubnov, Y Dickalov IEEE Transactions on Speech and Audio Processing 12 (1), 76-87, 2004 | 110 | 2004 |
| Guessing the composer's mind: Applying universal prediction to musical style G Assayag, S Dubnov, O Delerue ICMC, 1999 | 107 | 1999 |
| Universal adversarial perturbations for speech recognition systems P Neekhara, S Hussain, P Pandey, S Dubnov, J McAuley, F Koushanfar arXiv preprint arXiv:1905.03828, 2019 | 105 | 2019 |
| Synthesizing sound textures through wavelet tree learning S Dubnov, Z Bar-Joseph, R El-Yaniv, D Lischinski, M Werman IEEE Computer Graphics and Applications 22 (4), 38-48, 2002 | 98 | 2002 |
| Robust detection of COVID-19 in cough sounds: using recurrence dynamics and variable Markov model P Mouawad, T Dubnov, S Dubnov SN Computer Science 2 (1), 34, 2021 | 95 | 2021 |
| An introduction to musical metacreation P Pasquier, A Eigenfeldt, O Bown, S Dubnov Computers in Entertainment (CIE) 14 (2), 1-14, 2017 | 92 | 2017 |
| HTS-AT: A hierarchical token-semantic audio transformer for sound classification and detection K Chen, X Du, B Zhu, Z Ma, T Berg-Kirkpatrick, S Dubnov ICASSP 2022-2022 IEEE International Conference on Acoustics, Speech and …, 2022 | 89 | 2022 |
| Audio oracle: A new algorithm for fast learning of audio structures S Dubnov, G Assayag, A Cont Proceedings of International Computer Music Conference (ICMC), 2007 | 79 | 2007 |
| Large-scale contrastive language-audio pretraining with feature fusion and keyword-to-caption augmentation Y Wu, K Chen, T Zhang, Y Hui, T Berg-Kirkpatrick, S Dubnov ICASSP 2023-2023 IEEE International Conference on Acoustics, Speech and …, 2023 | 77 | 2023 |
| Universal classification applied to musical sequences S Dubnov, G Assayag, R El-Yaniv ICMC, 1998 | 75 | 1998 |
| Structural and affective aspects of music from statistical audio signal analysis S Dubnov, S McAdams, R Reynolds Journal of the American Society for Information Science and Technology 57 …, 2006 | 72 | 2006 |
| Realtime multiple-pitch and multiple-instrument recognition for music signals using sparse non-negative constraints A Cont, S Dubnov, D Wessel Proceedings of Digital Audio Effects Conference (DAFx), 2007 | 68 | 2007 |
| The effect of explicit structure encoding of deep neural networks for symbolic music generation K Chen, W Zhang, S Dubnov, G Xia, W Li 2019 International Workshop on Multilayer Music Representation and …, 2019 | 56 | 2019 |
| Generalized likelihood ratio test for voiced-unvoiced decision in noisy speech using the harmonic model E Fisher, J Tabrikian, S Dubnov IEEE Transactions on Audio, Speech, and Language Processing 14 (2), 502-510, 2006 | 56 | 2006 |
