We develop a large number of software tools and hosting infrastructures to support the research developed at the Department. We will be detailing in this section the different tools available. You can take a look for the moment at the offer available within the UPF Knowledge Portal, the innovations created in the context of EU projects in the Innovation Radar and the software sections of some of our research groups:

 

 Artificial Intelligence

 Nonlinear Time Series Analysis

 Web Research 

 

 Music Technology

 Interactive  Technologies

 Barcelona MedTech

 Natural Language  Processing

 Nonlinear Time Series  Analysis

UbicaLab

Wireless Networking

Educational Technologies

GitHub

 

 

Back Slizovskaia O, Gomez E, Haro G. Correspondence between audio and visual deep models for musical instrument detection in video recordings. 18th International Society for Music Information Retrieval Conference (ISMIR17)

Slizovskaia O, Gomez E, Haro G. Correspondence between audio and visual deep models for musical instrument detection in video recordings. 18th International Society for Music Information Retrieval Conference (ISMIR17)

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 convolutional neural networks (CNNs) and we study feature correspondence between audio and visual components of a multimodal CNN architecture. For each instrument category, we select the most activated neurons and investigate existing cross-correlations between neurons from the audio and video CNN which activate the same instrument category. We analyse two training schemes for multimodal applications and perform a comparative analysis and visualisation of model predictions.

Additional material:

Link: https://ismir2017.smcnus.org/lbds/Slizovskaia2017.pdf

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