Events

Defence of dissertation in the field of speech and language technology, M.Sc. Shreyas Seshadri

Analysis and conversion of speech signals using machine learning

The title of the thesis is: Machine learning methods for suprasegmental analysis and conversion in speech

Opponent: Dr. Ville Hautamäki, University of Eastern Finland, Finland

Custos: Professor Paavo Alku, Aalto University School of Electrical Engineering, Department of Signal Processing and Acoustics

Contact details of the doctoral candidate: Shreyas Seshadri, Department of Signal Processing and Acoustics, [email protected], +358 504765155

Electronic dissertation

The public defense will be organized via remote technology. Link to the Zoom-event: https://aalto.zoom.us/j/62070164113?pwd=bTV4cFZXRmcyUExESi81bGk3Nm45Zz09

Zoom Quick Guide: https://www.aalto.fi/en/services/zoom-quick-guide

The dissertation is publicly displayed as online display 10 days before the defence at: https://aaltodoc.aalto.fi/doc_public/eonly/riiputus/?lang=en

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