Audio Synthetic Data for Machine Learning
Tesi esterna in azienda
Riferimenti FABRIZIO RIENTE
Gruppi di ricerca VLSILAB (VLSI theory, design and applications)
Descrizione 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.
Conoscenze richieste Python
Scadenza validita proposta 03/04/2024 PROPONI LA TUA CANDIDATURA