Thesiss

An interest in developing the intelligent machine system that works in conjunction with human has been growing rapidly in recent years. A number of studies were conducted to shed light on how to design an interactive, adaptive and assistive machine system to serve a wide range o…

This thesis presents a machine learning model of expressive performance of piano music (specifically of Chopin Mazurkas) and a critical analysis of the output based upon statistical analyses of the musical scores and of recorded performances. Given the multidimensionality of the…

Always-on sound classification is a desirable but power-intensive function for a variety of emerging applications such as wearables and IoT devices. The hardware energy consumption of sound classifiers is typically driven by signal digitization, feature extraction, classificatio…