DocumentCode
721195
Title
Automatic Tamil lyric generation based on image sequence and derived tune
Author
Sridhar, Rajeswari ; Dharmaraj, Nivaedha ; Damodaran, Janani ; Sampath, Srividhya
Author_Institution
Dept. of Comput. Sci. & Eng., Anna Univ., Chennai, India
fYear
2015
fDate
12-13 June 2015
Firstpage
861
Lastpage
866
Abstract
The developed system is intended to generate Tamil lyrics from sequence of images, and derived tune. The choice of tune is automatically identified from the input situation and the notes are generated using a newly devised algorithm based on Carnatic music characteristics. The system, thus, generates two set of lyrics, based on the input: `Context (from Text) and Tune´ and `Context (from text) and Image´. Image sequence helps in generating lyrics that are in accordance with the visual effects of the song. This is achieved by object extraction from the input images and location identification using a heuristic algorithm. Singable lyrics are generated by creating tune using Carnatic raga lakshanas which are its characteristics. An appropriate raga for the extracted emotion is determined by referring to a designed Raga-Emotion database. The raga characteristics are then used to synthesize notes leading to tune.
Keywords
emotion recognition; feature extraction; image sequences; music; natural language processing; Carnatic Raga lakshanas; Carnatic music characteristics; Raga characteristics; Raga-emotion database; automatic Tamil lyric generation; derived tune; emotion extraction; heuristic algorithm; image sequence; location identification; natural language processing; notes generation; notes synthesis; object extraction; singable lyrics; song; visual effects; Algorithm design and analysis; Coherence; Computer science; Context; Databases; Object recognition; Semantics; Image Identification; Lyric Generation; Natural Language Processing; Raga synthesis;
fLanguage
English
Publisher
ieee
Conference_Titel
Advance Computing Conference (IACC), 2015 IEEE International
Conference_Location
Banglore
Print_ISBN
978-1-4799-8046-8
Type
conf
DOI
10.1109/IADCC.2015.7154828
Filename
7154828
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