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Browsing by Author "Slizovskaia, Olga"

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Acoustic scene classification by ensembling gradient boosting machine and convolutional neural networks

Fonseca, Eduardo; Gong, Rong; Bogdanov, Dmitry; Slizovskaia, Olga; Gómez Gutiérrez, Emilia, 1975-; Serra, Xavier (Tampere University of Technology, 2017)

This work describes our contribution to the acoustic scene classifi- cation task of the DCASE 2017 challenge. We propose a system that consists of the ensemble of two methods of different nature: a feature engineering ...
Audio-visual deep learning methods for musical instrument classification and separation

Slizovskaia, Olga (Universitat Pompeu Fabra, 2020-11-09)

In music perception, the information we receive from a visual system and audio system is often complementary. Moreover, visual perception plays an important role in the overall experience of being exposed to a music ...
Automatic musical instrument recognition in audiovisual recordings by combining image and audio classification strategies

Slizovskaia, Olga; Gómez Gutiérrez, Emilia, 1975-; Haro Ortega, Gloria (Zentrum für Mikrotonale Musik und Multimediale Komposition (ZM4), Hochschule für Musik und Theater Hamburg, 2016)

The goal of this work is to incorporate the visual modality into a musical instrument recognition system. For that, we first evaluate state-of-the-art image recognition techniques in the context of music instrument ...
Conditioned source separation for musical instrument performances

Slizovskaia, Olga; Haro Ortega, Gloria; Gómez Gutiérrez, Emilia, 1975- (Institute of Electrical and Electronics Engineers (IEEE), 2021)

In music source separation, the number of sources may vary for each piece and some of the sources may belong to the same family of instruments, thus sharing timbral characteristics and making the sources more correlated. ...
Correspondence between audio and visual deep models for musical instrument detection in video recordings

Slizovskaia, Olga; Gómez Gutiérrez, Emilia, 1975-; Haro Ortega, Gloria (International Society for Music Information Retrieval (ISMIR), 2017)

This work aims at investigating cross-modal connections between audio and video sources in the task of musical instrument recognition. We also address in this work the understanding of the representations learned by ...
End-to-end sound source separation conditioned on instrument labels

Slizovskaia, Olga; Kim, Leo; Haro Ortega, Gloria; Gómez Gutiérrez, Emilia, 1975- (Institute of Electrical and Electronics Engineers (IEEE), 2019)

Can we perform an end-to-end music source separation with a variable number of sources using a deep learning model? This paper presents an extension of the Wave-UNet [1] model which allows end-to-end monaural source ...
Musical instrument recognition in user-generated videos using a multimodal convolutional neural network architecture

Slizovskaia, Olga; Gómez Gutiérrez, Emilia, 1975-; Haro Ortega, Gloria (ACM Association for Computer Machinery, 2017)

This paper presents a method for recognizing musical instruments in user-generated videos. Musical instrument recognition from music signals is a well-known task in the music information retrieval (MIR) field, where current ...
Timbre analysis of music audio signals with convolutional neural networks

Pons Puig, Jordi; Slizovskaia, Olga; Gómez Gutiérrez, Emilia, 1975-; Serra, Xavier (European Association for Signal Processing (EURASIP), 2017)

The focus of this work is to study how to efficiently tailor Convolutional Neural Networks (CNNs) towards learning timbre representations from log-mel magnitude spectrograms. We first review the trends when designing ...

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Browsing by Author "Slizovskaia, Olga"

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