DocumentCode
234843
Title
Automated generation of song lyrics using CFGs
Author
Pudaruth, Sameerchand ; Amourdon, Sandiana ; Anseline, Joey
Author_Institution
Dept. of Comput. Sci. & Eng., Univ. of Mauritius, Réduit, Mauritius
fYear
2014
fDate
7-9 Aug. 2014
Firstpage
613
Lastpage
616
Abstract
This paper gives an overview of how challenging song writing is and gives an insight on how we developed a semi-automatic lyric generator for English songs. Writing lyrics has always been a challenging task as it involves not only creativity but also inspiration. Prior to implementation of the lyrics generator, much analysis were carried out so as to get in-depth information about the requirements of good lyrics. Research has been done in various fields such as artificial intelligence and natural language processing to be able to master the various techniques for text processing and to be able to use them in our own way. And finally, we carried out our evaluation by making a survey about the generated and existing lyrics and it proved to be very satisfactory. Many people rated the generated lyrics as being an existing lyric.
Keywords
music; natural language processing; text analysis; CFG; English song; semiautomatic lyric generator; song lyrics generation; text processing; Artificial intelligence; Databases; Generators; Music; Natural language processing; Semantics; Writing; English songs; artificial intelligence; lyrics generation; music; natural language processing;
fLanguage
English
Publisher
ieee
Conference_Titel
Contemporary Computing (IC3), 2014 Seventh International Conference on
Conference_Location
Noida
Print_ISBN
978-1-4799-5172-7
Type
conf
DOI
10.1109/IC3.2014.6897243
Filename
6897243
Link To Document