13 citations · 31 across the 5 of their papers we have counts for
5 papers
Pre-Training Strategies Using Contrastive Learning and Playlist Information for Music Classification and Similarity
Pablo Alonso-Jiménez, Xavier Favory, Hadrien Foroughmand +4
In this work, we investigate an approach that relies on contrastive learning and music metadata as a weak source of supervision to train music representation models. Recent studies…
Deep Learning for MIR Tutorial
Alexander Schindler, Thomas Lidy, Sebastian Böck
Deep Learning has become state of the art in visual computing and continuously emerges into the Music Information Retrieval (MIR) and audio retrieval domain. In order to bring atte…
A Multi-modal Deep Neural Network approach to Bird-song identification
Botond Fazeka, Alexander Schindler, Thomas Lidy +1
We present a multi-modal Deep Neural Network (DNN) approach for bird song identification. The presented approach takes both audio samples and metadata as input. The audio is fed in…
Multi-Temporal Resolution Convolutional Neural Networks for Acoustic Scene Classification
Alexander Schindler, Thomas Lidy, Andreas Rauber
In this paper we present a Deep Neural Network architecture for the task of acoustic scene classification which harnesses information from increasing temporal resolutions of Mel-Sp…
Fashion and Apparel Classification using Convolutional Neural Networks
Alexander Schindler, Thomas Lidy, Stephan Karner +1
We present an empirical study of applying deep Convolutional Neural Networks (CNN) to the task of fashion and apparel image classification to improve meta-data enrichment of e-comm…