Abstract:
"In the Sri Lankan context, the classification of Sinhala songs has received limited attention from researchers. Manually classifying music resources can be a tedious and labor-
intensive task. Applying neural networks to the music classification process is a highly
explored machine learning domain. However, compared to the main domain, this sub-
domain is underexplored due to the changing nature of music and a lack of interest in this
area. With the emergence of new technologies in the field of machine learning and the
discovery of new sub-domains of music classification, there is still much to explore in this
field."
