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Olga Slizovskaia
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2020 – today
- 2022
- [c8]Olga Slizovskaia, Gordon Wichern, Zhong-Qiu Wang, Jonathan Le Roux:
Locate This, Not that: Class-Conditioned Sound Event DOA Estimation. ICASSP 2022: 711-715 - [i9]Olga Slizovskaia, Gordon Wichern, Zhong-Qiu Wang, Jonathan Le Roux:
Locate This, Not That: Class-Conditioned Sound Event DOA Estimation. CoRR abs/2203.04197 (2022) - [i8]Olga Slizovskaia, Jordi Janer, Pritish Chandna, Oscar Mayor:
Voice conversion with limited data and limitless data augmentations. CoRR abs/2212.13581 (2022) - 2021
- [j1]Olga Slizovskaia
, Gloria Haro, Emilia Gómez
:
Conditioned Source Separation for Musical Instrument Performances. IEEE ACM Trans. Audio Speech Lang. Process. 29: 2083-2095 (2021) - 2020
- [b1]Olga Slizovskaia:
Audio-visual deep learning methods for musical instrument classification and separation. Pompeu Fabra University, Spain, 2020 - [c7]Joan Serrà, David Álvarez, Vicenç Gómez
, Olga Slizovskaia, José F. Núñez, Jordi Luque:
Input Complexity and Out-of-distribution Detection with Likelihood-based Generative Models. ICLR 2020 - [c6]Daniel Michelsanti
, Olga Slizovskaia
, Gloria Haro
, Emilia Gómez, Zheng-Hua Tan, Jesper Jensen:
Vocoder-Based Speech Synthesis from Silent Videos. INTERSPEECH 2020: 3530-3534 - [c5]Juan F. Montesinos, Olga Slizovskaia
, Gloria Haro
:
Solos: A Dataset for Audio-Visual Music Analysis. MMSP 2020: 1-6 - [i7]Daniel Michelsanti, Olga Slizovskaia, Gloria Haro, Emilia Gómez, Zheng-Hua Tan, Jesper Jensen:
Vocoder-Based Speech Synthesis from Silent Videos. CoRR abs/2004.02541 (2020) - [i6]Olga Slizovskaia
, Gloria Haro, Emilia Gómez:
Conditioned Source Separation for Music Instrument Performances. CoRR abs/2004.03873 (2020) - [i5]Juan F. Montesinos, Olga Slizovskaia, Gloria Haro:
Solos: A Dataset for Audio-Visual Music Analysis. CoRR abs/2006.07931 (2020)
2010 – 2019
- 2019
- [c4]Olga Slizovskaia
, Leo Kim, Gloria Haro
, Emilia Gómez:
End-to-end Sound Source Separation Conditioned on Instrument Labels. ICASSP 2019: 306-310 - [i4]Olga Slizovskaia
, Emilia Gómez, Gloria Haro:
A Case Study of Deep-Learned Activations via Hand-Crafted Audio Features. CoRR abs/1907.01813 (2019) - [i3]Joan Serrà, David Álvarez, Vicenç Gómez, Olga Slizovskaia
, José F. Núñez, Jordi Luque:
Input complexity and out-of-distribution detection with likelihood-based generative models. CoRR abs/1909.11480 (2019) - 2018
- [i2]Olga Slizovskaia, Leo Kim, Gloria Haro, Emilia Gómez:
End-to-End Sound Source Separation Conditioned On Instrument Labels. CoRR abs/1811.01850 (2018) - 2017
- [c3]Eduardo Fonseca, Rong Gong, Dmitry Bogdanov, Olga Slizovskaia, Emilia Gómez, Xavier Serra:
Acoustic Scene Classification by Ensembling Gradient Boosting Machine and Convolutional Neural Networks. DCASE 2017: 37-41 - [c2]Jordi Pons, Olga Slizovskaia
, Rong Gong, Emilia Gómez, Xavier Serra
:
Timbre analysis of music audio signals with convolutional neural networks. EUSIPCO 2017: 2744-2748 - [c1]Olga Slizovskaia
, Emilia Gómez, Gloria Haro
:
Musical Instrument Recognition in User-generated Videos using a Multimodal Convolutional Neural Network Architecture. ICMR 2017: 226-232 - [i1]Jordi Pons, Olga Slizovskaia, Rong Gong, Emilia Gómez, Xavier Serra:
Timbre Analysis of Music Audio Signals with Convolutional Neural Networks. CoRR abs/1703.06697 (2017)
Coauthor Index
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