Követés
Olga Slizovskaia
Olga Slizovskaia
E-mail megerősítve itt: astrazeneca.com - Kezdőlap
Cím
Hivatkozott rá
Hivatkozott rá
Év
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
2422019
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
1542017
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
362019
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
332021
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
332020
Acoustic scene classification by ensembling gradient boosting machine and convolutional neural networks
E Fonseca, R Gong, D Bogdanov, O Slizovskaia, E Gómez Gutiérrez, ...
Virtanen T, Mesaros A, Heittola T, Diment A, Vincent E, Benetos E, Martinez …, 2017
322017
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
162017
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
142017
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
112020
Automatic musical instrument recognition in audiovisual recordings by combining image and audio classification strategies
O Slizovskaia, E Gómez Gutiérrez, G Haro Ortega
Großmann R, Hajdu G, editors. Proceedings SMC 2016. 13th Sound and Music …, 2016
112016
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
62022
A case study of deep-learned activations via hand-crafted audio features
O Slizovskaia, E Gómez, G Haro
arXiv preprint arXiv:1907.01813, 2019
32019
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
32017
Method and System for Sound Event Localization and Detection
G Wichern, O Slizovskaia, J Le Roux
US Patent App. 17/687,866, 2023
2023
Voice conversion with limited data and limitless data augmentations
O Slizovskaia, J Janer, P Chandna, O Mayor
arXiv preprint arXiv:2212.13581, 2022
2022
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
EUSIPCO 2017. 25th European Signal Processing Conference; 2017 Aug 28-Sep 2 …, 2017
2017
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Cikkek 1–17