| Input complexity and out-of-distribution detection with likelihood-based generative models J Serrà, D Álvarez, V Gómez, O Slizovskaia, JF Núñez, J Luque arXiv preprint arXiv:1909.11480, 2019 | 308 | 2019 |
| Timbre analysis of music audio signals with convolutional neural networks J Pons, O Slizovskaia, R Gong, E Gómez, X Serra 2017 25th European Signal Processing Conference (EUSIPCO), 2744-2748, 2017 | 175 | 2017 |
| Conditioned source separation for musical instrument performances O Slizovskaia, G Haro, E Gómez IEEE/ACM Transactions on Audio, Speech, and Language Processing 29, 2083-2095, 2021 | 47 | 2021 |
| End-to-end sound source separation conditioned on instrument labels O Slizovskaia, L Kim, G Haro, E Gomez ICASSP 2019-2019 IEEE International Conference on Acoustics, Speech and …, 2019 | 41 | 2019 |
| Vocoder-based speech synthesis from silent videos D Michelsanti, O Slizovskaia, G Haro, E Gómez, ZH Tan, J Jensen arXiv preprint arXiv:2004.02541, 2020 | 37 | 2020 |
| Acoustic Scene Classification by Ensembling Gradient Boosting Machine and Convolutional Neural Networks. E Fonseca, R Gong, D Bogdanov, O Slizovskaia, E Gomez, X Serra DCASE, 37-41, 2017 | 31 | 2017 |
| Musical instrument recognition in user-generated videos using a multimodal convolutional neural network architecture O Slizovskaia, E Gómez, G Haro Proceedings of the 2017 ACM on International Conference on Multimedia …, 2017 | 16 | 2017 |
| Acoustic scene classification by fusing LightGBM and VGG-net multichannel predictions R Gong, E Fonseca, D Bogdanov, O Slizovskaia, E Gomez, X Serra Proc. IEEE AASP Challenge Detection Classification Acoust. Scenes Events, 1-4, 2017 | 15 | 2017 |
| Solos: A dataset for audio-visual music analysis JF Montesinos, O Slizovskaia, G Haro 2020 IEEE 22nd International Workshop on Multimedia Signal Processing (MMSP …, 2020 | 14 | 2020 |
| Automatic musical instrument recognition in audiovisual recordings by combining image and audio classification strategies O Slizovskaia, E Gómez Gutiérrez, G Haro Ortega Zentrum für Mikrotonale Musik und Multimediale Komposition (ZM4), Hochschule …, 2016 | 12 | 2016 |
| Locate this, not that: Class-conditioned sound event doa estimation O Slizovskaia, G Wichern, ZQ Wang, J Le Roux ICASSP 2022-2022 IEEE International Conference on Acoustics, Speech and …, 2022 | 6 | 2022 |
| A case study of deep-learned activations via hand-crafted audio features O Slizovskaia, E Gómez, G Haro arXiv preprint arXiv:1907.01813, 2019 | 3 | 2019 |
| Correspondence between audio and visual deep models for musical instrument detection in video recordings O Slizovskaia, E Gómez Gutiérrez, G Haro Ortega International Society for Music Information Retrieval (ISMIR), 2017 | 3 | 2017 |
| Voice conversion with limited data and limitless data augmentations O Slizovskaia, J Janer, P Chandna, O Mayor arXiv preprint arXiv:2212.13581, 2022 | 1 | 2022 |
| Method and System for Sound Event Localization and Detection G Wichern, O Slizovskaia, J Le Roux US Patent App. 17/687,866, 2023 | | 2023 |
| Audio-visual deep learning methods for musical instrument classification and separation O Slizovskaia Universitat Pompeu Fabra, 2020 | | 2020 |
| Timbre analysis of music audio signals with convolutional neural networks J Pons Puig, O Slizovskaia, E Gómez Gutiérrez, X Serra European Association for Signal Processing (EURASIP), 2017 | | 2017 |