DocumentCode
2875781
Title
Author recognition from lyrics
Author
Kirmaci, Basar ; Ogul, Hasan
Author_Institution
Bilgisayar Muhendisligi Bolumu, Baskent Univ., Ankara, Turkey
fYear
2015
fDate
16-19 May 2015
Firstpage
2489
Lastpage
2492
Abstract
Music information retrieval has been an important task due to the wide use of internet and related technologies for entertainment. In previous studies, the problem has been considered using the meta-data or melodic content. The use of lyrics in this context is not that common. There is not study either for Turkish songs in this respect. In this study, we discuss the predictability of the author using the text data in a Turkish lyric. To this end, we propose a system that can predict the author using the features extracted from text content. The performance of the system is evaluated on a large data set collected from writers with different music styles.
Keywords
Internet; feature extraction; information retrieval; music; Internet; Turkish songs; author recognition; feature extraction; lyrics; melodic content; meta-data; music information retrieval; Conferences; Entertainment industry; Feature extraction; Information retrieval; Internet; Mood; Rocks; Information retrieval; classification; lyric analysis; music recommendation system; text features;
fLanguage
English
Publisher
ieee
Conference_Titel
Signal Processing and Communications Applications Conference (SIU), 2015 23th
Conference_Location
Malatya
Type
conf
DOI
10.1109/SIU.2015.7130389
Filename
7130389
Link To Document