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…
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…
Describes an effective approach to measuring an individual's performance that provides a solid base for promotion compensation decissions and stimulates employ productivity.