Thomas Rolland

From HLT@INESC-ID

Thomas RollandInvestigador Auxiliar | SA-HLT 
Thomas Rolland

Thomas Rolland studied Computer Science, specializing in Artificial Intelligence and pattern recognition. In 2016, he successfully earned his Bachelor of Science degree, followed by a Master's degree in Artificial Intelligence in 2018, both from the University of Toulouse 3, France.

He transitioned to Lisbon, Portugal, to pursue a PhD at Inesc-ID and Instituto Superior Técnico, Universidade de Lisboa. Under the supervision of Professor Alberto Abad, his research focuses on improving automatic speech recognition for children.

He has participated in several noteworthy initiatives such as TAPAS - Training Network on Automatic Processing of Pathological Speech - a European program. Currently, he is part of the ACCELERAT.AI project.

Beyond his primary focus on children's automatic speech recognition, he maintains a broad spectrum of research interests. These encompass robust speech recognition, exploring applications in healthcare, and text-to-speech technologies.

 

Total Publications: 7

In Proceedings (Author)

 

Total Supervisions: 1

Master's Theses

  • Data augmentation based on text-to-speech methods for Portuguese automatic speech recognition
    Diogo Pereira
    Alberto Abad (advisor), Thomas Rolland (coadvisor)
    Master's Thesis, Instituto Superior Técnico, Universidade de Lisboa, 2024-07-08 - 2025-09-30

 

Total Projects: 1

National Projects

  • ACCELERAT.AI - ACCELERAT.AI
    DEFINED AI, IAPMEI, Societal Digital Transformation, Instituto Superior Técnico, Universidade de Lisboa, FFCUL, NOS Comunicações, Devscope - Soluções De Sistemas E Tecnologias De Formação, S.A., INESC-ID Lisboa, FCiências.ID - Associação para a Investigação e Desenvolvimento de Ciências2023-01-01 - 2025-12-21