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
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;
Conference_Titel :
Contemporary Computing (IC3), 2014 Seventh International Conference on
Conference_Location :
Noida
Print_ISBN :
978-1-4799-5172-7
DOI :
10.1109/IC3.2014.6897243