Naslov
MACHINE LEARNING MODEL FOR THE CLASSIFICATION OF MUSICAL COMPOSITION GENRES

Autori
Marošević, Javor ; Đambić, Goran ; Mršić, Leo

Izvornik
Springer International Publishing (Intelligent Information and Database Systems: 13th Asian Conference, ACIIDS 2021, Phuket, Thailand) (0302-9743) 12672 (2021); 653-664

Vrsta, podvrsta i kategorija rada
Radovi u časopisima, članak, znanstveni

Ključne riječi
Machine learning ; Musical composition genre classification ; Logistic regression ; SVM ; Neural networks

Sažetak
The aim of this paper is to validate the applicability of standard machine learning models for the classification of a music composition genre. Three different machine learning models were used and analyzed for best accuracy: logistic regression, neural network and SVM. For the purpose of validating each model, a prototype of a system for classification of a music composition genre is built. The end-user interface for the prototype is very simple and intuitive ; the user uses mobile phone to record 30 s of a music composition ; acquired raw bytes are delivered via REST API to each of the machine learning models in the backend ; each machine learning model classifies the music data and returns its genre. Besides validating the proposed model, this prototyped system could also be applicable as a part of a music educational system in which musical pieces that students compose and play would be classified.

Izvorni jezik
Hrvatski

Znanstvena područja
Računarstvo, Temeljne tehničke znanosti, Interdisciplinarne tehničke znanosti, Informacijske i komunikacijske znanosti

POVEZANOST RADA