| KEYWORD |
Application of Explainable Artificial Intelligence Techniques to Automatic Music Emotion Recognition
keywords ARTIFICIAL INTELLIGENCE, EMOTIONS, MUSIC
Reference persons CRISTINA EMMA MARGHERITA ROTTONDI
External reference persons Dr. Omran Ayoub and Dr. Davide Andreoletti (Scuola Universitaria Professionale della Svizzera Italiana)
Research Groups Telecommunication Networks Group
Thesis type RICERCA
Description Explainable artificial intelligence (XAI) is a set of processes and methods that allows human users to comprehend and trust the results and output created by machine learning algorithms. The aim of the thesis is to apply an XAI framework to a machine learning classifier that automatically recognizes the mood of a musical piece, based on both high-level features (e.g., key, tempo, tonality, mode, scale) and low-level features (e.g., Mel frequency cepstral coefficients), to distill guidelines for music composers and for potential incorporation in music recommendation systems.
Required skills solid programming skills in python, basic knowledge of Machine Learning techniques.
Deadline 02/12/2024
PROPONI LA TUA CANDIDATURA