Thomas Rolland
PostDoctoral Researcher at INESC-ID
Lisbon, Portugal
Summary
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Senior🎓
Top SchoolThomas Rolland is a Postdoctoral Researcher at INESC-ID in Lisbon with a decade of experience building robust speech systems, specializing in ASR, TTS and parameter-efficient machine learning. He completed a PhD in Artificial Intelligence at Instituto Superior Técnico after a master's in computer science from Université Paul Sabatier, and his doctoral work focused on speech technologies for therapeutic games supporting children with speech disorders. Thomas bridges academic research and applied engineering, designing models that work on pathological and child speech where data is scarce and variability is high. He has hands-on experience with both neural and statistical feature extraction methods from earlier research at IRIT and brings a practical emphasis on deployable, resource-efficient solutions. Based in Lisbon, he combines deep domain knowledge in speech processing with an interest in making ML systems accessible and clinically useful.
10 years of coding experience
Master's degree, Computer Science, Master's degree, Computer Science at Université Paul Sabatier Toulouse IIIDoctor of Philosophy - PhD, Artificial Intelligence, Doctor of Philosophy - PhD, Artificial Intelligence at Instituto Superior Técnico
English, French, Portuguese
Github Skills (26)
transformers10
speaker-diarization10
speech-to-text10
pytorch10
language-model10
speech-processing10
speaker-verification10
speech-enhancement10
voice-recognition10
audio-processing10
speech-synthesis10
audio10
huggingface10
deep-learning10
speech10
Programming languages (3)
Github contributions (5)
Usanter/SparseCoding
Apr 2018 - Aug 2018
Contributions:25 commits, 23 pushes, 1 branch in 4 months
Usanter/usanter.github.io
Oct 2018 - Aug 2024
Contributions:7 pushes, 1 branch in 5 years 10 months
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