Audio Synthetic Data for Machine Learning
Thesis in external company
Reference persons FABRIZIO RIENTE
Research Groups VLSILAB (VLSI theory, design and applications)
Description Innovative time-frequency analysis and processing functions for isolating and modifying sound components can be used to assessing the influence of sounds on human perception. The Thesis goal is the creation of a virtual environments to analyze and optimize the vehicle in-vehicle sound reproduction and to create a synthetic dataset to train new Machine Learning models to recognize sounds.
Required skills Python
Deadline 03/04/2024 PROPONI LA TUA CANDIDATURA