Title :
Author recognition from lyrics
Author :
Kirmaci, Basar ; Ogul, Hasan
Author_Institution :
Bilgisayar Muhendisligi Bolumu, Baskent Univ., Ankara, Turkey
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;
Conference_Titel :
Signal Processing and Communications Applications Conference (SIU), 2015 23th
Conference_Location :
Malatya
DOI :
10.1109/SIU.2015.7130389
