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Student Spotlights

A portrait of Stallone Sabatier

Stallone Sabatier

Stallone Sabatier is a second-year MSEE student working on audio-visual deep leaning. 

After designing methods to perform controlled collection of audio samples as an undergrad, Stallone’s graduate work is focused on research and analysis of the similarities of twins' voices, as well as acoustic channel effects in speaker recognition. His research interests include using statistical modeling and artificial neural networks for identification and verification along with signal processing techniques to simulate noise and other channel characteristics. Stallone was recently inducted into Eta Kappa Nu honors society of IEEE.