Recognizing song mood and theme using convolutional recurrent neural networks
Journal
CEUR Workshop Proceedings
Journal Volume
2670
Date Issued
2019-01-01
Author(s)
Abstract
In this year's MediaEval task, Emotion and Theme Recognition in Music Using Jamendo, the goal is to assign emotion and theme tags to songs. In this paper, we describe our-Team TaiInn (Innsbruck)-approach for this task. We use a neural network model consisting of both convolutional and recurrent layers and utilize spectral, high-level as well as rhythm features. Our approach achieves a ROC-AUC score of 0.723 on the provided test set.
Type
conference paper