Architecture for Automated Tagging and Clustering of Song Files According to Mood

• DOI: 10.48550/arxiv.1206.2484
• Publication Date: 2012-01-01
• Authors: Puneet Singh; Ashutosh Kapoor; Vishal Kaushik; Hima Bindu Maring...
• Keywords: Lyrics; Timbre; Value (mathematics)

Music is one of the basic human needs for recreation and entertainment. As song files are digitalized now a days, digital libraries expanding continuously, which makes it difficult to recall song. Thus need new classification system other than genre very obvious mood based serves purpose well. In this paper we will present well-defined architecture classify songs into different mood-based categories, using audio content analysis, affective value lyrics map onto psychological-based emotion space information from online sources. analysis use music features such as intensity, timbre rhythm including their subfeatures in 2-Dimensional emotional space. lyric 1-Dimensional used. Both results merged space, particular category. Finally clusters formed arranged according data acquired various Internet