???global.info.a_carregar???
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.
Read full resume ↓
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 paper
  1. 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
  2. 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
  3. 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. 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
  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 (2024):
    Submitted
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