Olga Slizovskaia

According to our database, Olga Slizovskaia authored at least 13 papers between 2017 and 2022.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2022

Voice conversion with limited data and limitless data augmentations.

Olga Slizovskaia, Jordi Janer, Pritish Chandna, Oscar Mayor

CoRR, 2022

Locate This, Not that: Class-Conditioned Sound Event DOA Estimation.

Olga Slizovskaia, Gordon Wichern, Zhong-Qiu Wang, Jonathan Le Roux

Proceedings of the IEEE International Conference on Acoustics, 2022

2021

Conditioned Source Separation for Musical Instrument Performances.

Olga Slizovskaia, Gloria Haro, Emilia Gómez

IEEE ACM Trans. Audio Speech Lang. Process., 2021

2020

Audio-visual deep learning methods for musical instrument classification and separation.

Olga Slizovskaia

PhD thesis, 2020

Conditioned Source Separation for Music Instrument Performances.

Olga Slizovskaia, Gloria Haro, Emilia Gómez

CoRR, 2020

Solos: A Dataset for Audio-Visual Music Analysis.

Juan F. Montesinos, Olga Slizovskaia, Gloria Haro

Proceedings of the 22nd IEEE International Workshop on Multimedia Signal Processing, 2020

Vocoder-Based Speech Synthesis from Silent Videos.

Daniel Michelsanti, Olga Slizovskaia, Gloria Haro, Emilia Gómez, Zheng-Hua Tan, Jesper Jensen

Proceedings of the Interspeech 2020, 2020

Input Complexity and Out-of-distribution Detection with Likelihood-based Generative Models.

Joan Serrà, David Álvarez, Vicenç Gómez, Olga Slizovskaia, José F. Núñez, Jordi Luque

Proceedings of the 8th International Conference on Learning Representations, 2020

2019

A Case Study of Deep-Learned Activations via Hand-Crafted Audio Features.

Olga Slizovskaia, Emilia Gómez, Gloria Haro

CoRR, 2019

End-to-end Sound Source Separation Conditioned on Instrument Labels.

Olga Slizovskaia, Leo Kim, Gloria Haro, Emilia Gómez

Proceedings of the IEEE International Conference on Acoustics, 2019

2017

Musical Instrument Recognition in User-generated Videos using a Multimodal Convolutional Neural Network Architecture.

Olga Slizovskaia, Emilia Gómez, Gloria Haro

Proceedings of the 2017 ACM on International Conference on Multimedia Retrieval, 2017

Timbre analysis of music audio signals with convolutional neural networks.

Jordi Pons, Olga Slizovskaia, Rong Gong, Emilia Gómez, Xavier Serra

Proceedings of the 25th European Signal Processing Conference, 2017

Acoustic Scene Classification by Ensembling Gradient Boosting Machine and Convolutional Neural Networks.

Eduardo Fonseca, Rong Gong, Dmitry Bogdanov, Olga Slizovskaia, Emilia Gómez, Xavier Serra

Proceedings of the Workshop on Detection and Classification of Acoustic Scenes and Events, 2017