We are excited to announce the successful completion and presentation of the diploma thesis by Ioannis Frouzis and Dimitrios Volakis, titled:
“Μελέτη και ανάπτυξη συστήματος αναγνώρισης συναισθήματος τραγουδιών με χρήση τεχνικών μηχανικής μάθησης”
(“Song Emotion Recognition Using Machine Learning Techniques”)
This groundbreaking work involved the creation of a system capable of automatically recognizing emotions in songs using advanced machine learning techniques. A major highlight of the project was the development of the first-ever database of traditional Greek songs from various regions across Greece, a valuable resource for future research in this domain.
The students employed pre-trained neural networks and classifiers, leveraging diverse acoustic features to build a robust emotion recognition system. Their innovative approach not only advances the field of music analysis but also highlights the emotional depth and cultural significance of Greek traditional music.
We are proud to share that Ioannis and Dimitrios will continue their work as members of the SIPPRE Lab, further refining and expanding this important project. Their efforts exemplify the lab’s commitment to integrating technology with cultural preservation and innovation.
Congratulations to Ioannis Frouzis and Dimitrios Volakis for their exceptional contributions! We look forward to seeing how this research evolves in the future.