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Pedro Miguel Lima Louro é aluno de doutoramento em Engenharia Informárica pela Universidade de Coimbra. Aqui desenvolve a sua investigação sobre Reconhecimento de Emoção em Música no Centro de Informática e Sistemas da Universidade de Coimbra. Concluiu o Mestrado em Engenharia Informática, com especialização em Sistemas Inteligentes, em 2022 pela Universidade de Coimbra. Publicou 1 artigo em revista especializada, tendo submetido outro para a revista com mais impacto na área em que atua. Submeteu também 3 artigos para 2 conferências de topo na área em que atua. Participa como Bolseiro de Investigação em 1 projeto.
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Identification

Personal identification

Full name
Pedro Miguel Lima Louro

Citation names

  • Pedro Lima Louro

Author identifiers

Ciência ID
C315-8AA7-2C25
ORCID iD
0000-0003-3201-6990

Email addresses

  • pedrolouro@dei.uc.pt (Professional)

Addresses

  • Rua Florbela Espanca Lote D10, 7170-072, Redondo, Évora, Portugal (Personal)

Knowledge fields

  • Engineering and Technology - Electrotechnical Engineering, Electronics and Informatics

Languages

Language Speaking Reading Writing Listening Peer-review
Portuguese (Mother tongue)
English Upper intermediate (B2) Proficiency (C2) Upper intermediate (B2) Proficiency (C2)
Spanish; Castilian Elementary (A2) Intermediate (B1) Elementary (A2) Intermediate (B1)
Education
Degree Classification
2020/09 - 2022/09
Concluded
 Engenharia Informática (Mestrado)
Major in Sistemas Inteligentes
Universidade de Coimbra Departamento de Engenharia Informática, Portugal
"MERGE Audio 2.0" (THESIS/DISSERTATION)
 16
2017/09 - 2020/08
Attended
 Engenharia Informática (Licenciatura)
Major in Geral
Universidade de Évora Departamento de Informática, Portugal
 14
Affiliation

Teaching in Higher Education

Category
Host institution 		Employer
2024/02/05 - 2024/08/31 Invited Assistant (University Teacher) Universidade de Coimbra Faculdade de Ciencias e Tecnologia, Portugal
Universidade de Coimbra Faculdade de Ciencias e Tecnologia, Portugal
Projects

Contract

Designation Funders
2022/01/01 - Current MERGE: Music Emotion Recognition - Next Generation
PTDC/CCI-COM/2746/2020
Research Fellow
Universidade de Coimbra Centro de Informatica e Sistemas, Portugal
 Fundação para a Ciência e a Tecnologia
Ongoing
Outputs

Publications

Conference abstract
  1. Louro, Pedro Lima; Redinho, Hugo; Malheiro, Ricardo; Paiva, Rui Pedro; Panda, Renato. "Improving Deep Learning Methodologies for Music Emotion Recognition". Paper presented in 30th Portuguese Conference on Pattern Recognition, 2024.
    Published
Conference paper
  1. LOURO, Pedro; RIBEIRO, Tiago; MALHEIRO, Ricardo; PANDA, Renato; PAIVA, Rui Pedro. "BEE-MER: Bimodal Embeddings Ensemble For Music Emotion Recognition". Paper presented in 22nd Sound and Music Computing Conference, Graz, 2025.
    Published • 10.5281/zenodo.15837364
  2. Louro, Pedro Lima; Redinho, Hugo; Malheiro, Ricardo; Paiva, Rui Pedro; Panda, Renato. "Improving Music Emotion Recognition By Leveraging Handcrafted And Learned Features". Paper presented in 1st Latin American Music Information Retrieval Workshop (LAMIR), Rio de Janeiro, 2024.
    Published
  3. Louro, Pedro; Branco, Guilherme; Redinho, Hugo; Correia, Ricardo; Malheiro, Ricardo; Panda, Renato; Paiva, Rui. "MERGE App: A Prototype Software for Multi-User Emotion-Aware Music Management". Paper presented in 16th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management, Porto, 2024.
    Published • 10.5220/0013067800003838
  4. Hugo Redinho; Pedro Lima Louro; Ricardo Malheiro; Rui Pedro Paiva; Renato Panda. Corresponding author: Hugo Redinho. "Exploiting Automatic Source Separation and Music Transcription for Music Emotion Recognition". Paper presented in International Society for Music Information Retrieval Conference 2024, São Francisco, 2024.
    Submitted
  5. Ferreira, Tomas; Redinho, Hugo; Louro, Pedro L.; Malheiro, Ricardo; Paiva, Rui Pedro; Panda, Renato. "Exploring Song Segmentation for Music Emotion Variation Detection". Paper presented in 15th International Workshop on Machine Learning and Music (MML2024), Vilnius, 2024.
    Published
  6. Pedro Lima Louro; Hugo Redinho; Ricardo Malheiro; Renato Panda; Rui Pedro Paiva. Corresponding author: Pedro Lima Louro. "Exploring Deep Learning Methodologies for Music Emotion Recognition". Paper presented in Sound and Music Computing 2024, Porto, 2024.
    Accepted
  7. Pedro Lima Louro; Panda, Renato. ""Back in my day...": Differences in generational groups perception of musically-evoked emotion". Paper presented in Sound and Music Computing 2024, Porto, 2024.
    Accepted
Journal article
  1. Redinho, Hugo; Pedro Lima Louro; André C. Santos; Malheiro, R.; Paiva, Rui Pedro; Panda, Renato. "Music Emotion Recognition : a Feature Engineering Approach based on Music Source Separation and Automatic Music Transcription". IEEE Transactions on Affective Computing (2025):
    Under revision
  2. Pedro Lima Louro; Hugo Redinho; Ricardo Malheiro; Renato Panda; Rui Pedro Paiva. Corresponding author: Pedro Lima Louro. "MERGE - A Bimodal Dataset For Static Music Emotion Recognition". IEEE Transactions on Affective Computing (2025):
    Submitted
  3. Pedro Lima Louro; Hugo Redinho; Ricardo Malheiro; Rui Pedro Paiva; Renato Panda. "A Comparison Study of Deep Learning Methodologies for Music Emotion Recognition". Sensors (2024): https://doi.org/10.3390/s24072201.
    10.3390/s24072201
Thesis / Dissertation
  1. "MERGE Áudio 2.0". Master, Universidade de Coimbra Faculdade de Ciencias e Tecnologia, 2022. https://estudogeral.uc.pt/handle/10316/102155.
Activities

Event participation

Activity description
Type of event 		Event name
Institution / Organization
2022/09/09 - Current The symposium, born in the context of the research project ‘Playback the music of the brain - decoding emotions elicited by music in the human brain’, aims to address different aspects of music and the neural correlates of music listening experience, representing an opportunity to gather national and international experts in music information retrieval, imaging, physiological and behavioral research.
Symposium
 Playback the music of the brain - decoding emotions elicited by music in the human brain
Universidade de Coimbra Centro de Imagem Biomédica e Investigação Translacional, Portugal