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Audio Synthetic Data for Machine Learning

azienda Thesis in external company    


keywords AUDIO, MACHINE LEARNING, MACHINE LEARNING, ARTIFICIAL NEURAL NETWORKS, SYNTHETIC DATA

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 03/04/2025      PROPONI LA TUA CANDIDATURA




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