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Affiliation

University of Coimbra, Centre for Informatics and Systems of the University of Coimbra (CISUC), Department of Informatics Engineering, and LASI, Portugal

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1 Papers

MERGE App: A Prototype Software for Multi-User Emotion-Aware Music Management

Topics: Information Extraction; Deep Learning; Applications of Knowledge Discovery and Information Retrieval

Authors: Pedro Louro ¹ , Guilherme Branco ¹ , Hugo Redinho ¹ , Ricardo Correia ¹ , Ricardo Malheiro ^{1

;

2} , Renato Panda ^{1

;

3} and Rui Paiva ¹

Affiliations: ¹ University of Coimbra, Centre for Informatics and Systems of the University of Coimbra (CISUC), Department of Informatics Engineering, and LASI, Portugal , ² Polytechnic Institute of Leiria School of Technology and Management, Portugal , ³ Ci2 — Smart Cities Research Center, Polytechnic Institute of Tomar, Portugal

Digital Object Identifier: 10.5220/0013067800003838

Proceedings of KDIR 2024, ISBN: 978-989-758-716-0

Quick Abstract

We present a prototype software for multi-user music library management using the perceived emotional content of songs. The tool offers music playback features, song filtering by metadata, and automatic emotion prediction based on arousal and valence, with the possibility of personalizing the predictions by allowing each user to edit these values based on their own emotion assessment. This is an important feature for handling both classification errors and subjectivity issues, which are inherent aspects of emotion perception. A path-based playlist generation function is also implemented. A multi-modal audio-lyrics regression methodology is proposed for emotion prediction, with accompanying validation experiments on the MERGE dataset. The results obtained are promising, showing higher overall performance on train-validate-test splits (73.20% F1-score with the best dataset/split combination).