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 | 446 | 2023 |
Automatic classification of musical instrument sounds P Herrera-Boyer, G Peeters, S Dubnov Journal of New Music Research 32 (1), 3-21, 2003 | 315 | 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 | 295 | 1997 |
Using factor oracles for machine improvisation G Assayag, S Dubnov Soft Computing 8 (9), 604-610, 2004 | 225 | 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 | 224 | 2006 |
Using machine-learning methods for musical style modeling S Dubnov, G Assayag, O Lartillot, G Bejerano Computer 36 (10), 73-80, 2003 | 224 | 2003 |
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 | 223 | 2022 |
Generalization of spectral flatness measure for non-gaussian linear processes S Dubnov IEEE Signal Processing Letters 11 (8), 698-701, 2004 | 199 | 2004 |
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 | 142 | 2019 |
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 | 121 | 2021 |
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 | 111 | 2004 |
An introduction to musical metacreation P Pasquier, A Eigenfeldt, O Bown, S Dubnov Computers in Entertainment (CIE) 14 (2), 1-14, 2017 | 110 | 2017 |
Guessing the composer's mind: Applying universal prediction to musical style G Assayag, S Dubnov, O Delerue ICMC, 1999 | 104 | 1999 |
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 | 100 | 2002 |
{WaveGuard}: Understanding and mitigating audio adversarial examples S Hussain, P Neekhara, S Dubnov, J McAuley, F Koushanfar 30th USENIX security symposium (USENIX Security 21), 2273-2290, 2021 | 81 | 2021 |
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 | 77 | 2007 |
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 | 76 | 2007 |
Universal classification applied to musical sequences S Dubnov, G Assayag, R El-Yaniv ICMC: International Computer Music Conference, 1-1, 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 |
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 | 71 | 2019 |