Acoustic Scene Classification by Ensembling Gradient Boosting Machine and Convolutional Neural Networks. - Eduardo Fonseca; Rong Gong; Dmitry Bogdanov; Olga Slizovskaia; Emilia Gómez; Xavier Serra (DCASE, 2017)

Timbre analysis of music audio signals with convolutional neural networks. - Jordi Pons; Olga Slizovskaia; Rong Gong; Emilia Gómez; Xavier Serra (EUSIPCO, 2017)

Musical Instrument Recognition in User-generated Videos using a Multimodal Convolutional Neural Network Architecture. - Olga Slizovskaia; Emilia Gómez; Gloria Haro (ICMR, 2017)

End-to-end Sound Source Separation Conditioned on Instrument Labels. - Olga Slizovskaia; Leo Kim; Gloria Haro; Emilia Gómez (ICASSP, 2019)

A Case Study of Deep-Learned Activations via Hand-Crafted Audio Features. - Olga Slizovskaia; Emilia Gómez; Gloria Haro (CoRR, 2019)

Input Complexity and Out-of-distribution Detection with Likelihood-based Generative Models. - Joan Serrà; David Álvarez 004; Vicenç Gómez; Olga Slizovskaia; José F. Núñez; Jordi Luque (ICLR, 2020)

Vocoder-Based Speech Synthesis from Silent Videos. - Daniel Michelsanti; Olga Slizovskaia; Gloria Haro; Emilia Gómez; Zheng-Hua Tan; Jesper Jensen 001 (INTERSPEECH, 2020)

Solos: A Dataset for Audio-Visual Music Analysis. - Juan F. Montesinos; Olga Slizovskaia; Gloria Haro (MMSP, 2020)

Conditioned Source Separation for Music Instrument Performances. - Olga Slizovskaia; Gloria Haro; Emilia Gómez (CoRR, 2020)

Audio-visual deep learning methods for musical instrument classification and separation. - Olga Slizovskaia (2020)

Conditioned Source Separation for Musical Instrument Performances. - Olga Slizovskaia; Gloria Haro; Emilia Gómez (IEEE ACM Trans. Audio Speech Lang. Process., 2021)

Locate This, Not that: Class-Conditioned Sound Event DOA Estimation. - Olga Slizovskaia; Gordon Wichern; Zhong-Qiu Wang 001; Jonathan Le Roux (ICASSP, 2022)

Voice conversion with limited data and limitless data augmentations. - Olga Slizovskaia; Jordi Janer; Pritish Chandna; Oscar Mayor (CoRR, 2022)