DocumentCode :
238879
Title :
Recognition of similar patterns in popular Hindi Jazz songs by music data mining
Author :
Bagul, Mitali ; Soni, Deepak ; Saravanakumar, K.
Author_Institution :
Sch. of Inf. Technol. & Eng., VIT Univ., Vellore, India
fYear :
2014
fDate :
27-29 Nov. 2014
Firstpage :
1274
Lastpage :
1278
Abstract :
Music is one of the beautiful and greatest creations of human kind in the course of history. As we know it, music plays a vital role not only in the film industry but also in our daily life. The creation of a popular song is a tedious task in today´s world because of the availability of many popular and known songs worldwide. While on the one hand musicians or song writers try to give their level best, on the other side there are people who try to remix the old songs with new music and sometimes they do prove beneficial. From the classification of various genres like Pop, Jazz, Bhangra(an Indian genre) our proposal is to use the technological development in data and pattern mining, keeping the sense of creativity to a minimum and providing more chances to technology in the Hindi Jazz songs. This paper deals with the recognition of similar pattern in the Jazz music which makes them popular from the rest of the songs.
Keywords :
data mining; music; pattern recognition; Hindi jazz songs; music data mining; pattern recognition; song creation; Data mining; Feature extraction; Multiple signal classification; Spectral analysis; Spectrogram; Timbre; BPM; Music; Pleasant Limit; Pleasant Sequence; Spectrogram; Tempo;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Contemporary Computing and Informatics (IC3I), 2014 International Conference on
Conference_Location :
Mysore
Type :
conf
DOI :
10.1109/IC3I.2014.7019799
Filename :
7019799
Link To Document :
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