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Public defence in Speech and Language Technology, M.Sc. Ragheb Al-Ghezi

Public defence from the Aalto University School of Electrical Engineering, Department of Information and Communications Engineering
Doctoral hat floating above a speaker's podium with a microphone

The title of the thesis: Use of Self-Supervised Learning in Automated Speaking Scoring for Low-Resource Languages

Doctoral student: Ragheb Al-Ghezi
Opponent: Prof. Helmer Strik, Radboud University, The Netherlands
Custos: Prof. Mikko Kurimo, Aalto University School of Electrical Engineering, Department of Information and Communications Engineering 

Thesis available for public display 10 days prior to the defence at: https://aaltodoc.aalto.fi/doc_public/eonly/riiputus/

Doctoral theses in the School of Electrical Engineering: https://aaltodoc.aalto.fi/handle/123456789/53

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