In my previous presentation at the ConsILR 2018 Conference I pointed out some of the main research directions for the “SpeeD” team. Now I am able to give more details about some achievements in several areas of interest: emotions recognition from speech, DNN approach to Romanian speech and speaker recognition, automatic music transcription, EEG classifier based on deep neural network, real-time EMG-based gesture recognition system, deep learning system for improved segmentation of lesions related to covid-19 chest CT scans, analysis of seismic waves. What do these seemingly very different areas have in common?

I am trying to demonstrate that the methods offered by machine learning could provide viable solutions for the most diverse applications. But it is also an opportunity to share some of the achievements of the team I am working with.