Title :
Notice of Violation of IEEE Publication Principles
A Tool for Identifying Ragas Using MIDI (Musical Instrument Devices) for CMIR (Classical Music Information Retrieval)
Author_Institution :
Dept. of Comput. Sci. & Eng., B.S.Abdur Rahman Univ., Chennai, India
Abstract :
Notice of Violation of IEEE Publication Principles
"A Tool for Identifying Ragas Using MIDI (Musical Instrument Devices) for CMIR (Classical Music Information Retrieval)"
by R. Sudha,
in the Proceedings of the 8th IEEE International Conference on Dependable, Autonomic and Secure Computing, December 2009, pp. 837-842
After careful and considered review of the content and authorship of this paper by a duly constituted expert committee, this paper has been found to be in violation of IEEE\´s Publication Principles.
This paper contains portions of text from the paper(s) cited below. A credit notice is used, but due to the absence of quotation marks or offset text, copied material is not clearly referenced or specifically identified.
"Raga Mining of Indian Music by Extracting Arohana-Avarohana Pattern"
by Surendra Shetty and K.K. Achary
International Journal of Recent Trends in Engineering, Vol 1, No 1, May 2009, pp. 362-366
The main motive behind Ragas identification is that it can be used as good basis for music information retrieval of carnatic music songs or film songs based on carnatic music. The input polyphonic music signal is analyzed and made to pass through a signal separation algorithm to separate the instrument and the vocal signal. The frequency components of the signal are then determined and we map these frequency in to swara sequence ant thereby determine the Ragas of the particular song.30- 40 a sample of base Ragas from 72 is being identified which will help more for music learners and musicians. Still now only vocal type of identification is being carried out and we provide the identification with string type Instruments of 1 or 2 instruments mixture (violin/sitar/both).
Keywords :
information retrieval; music; musical instruments; source separation; CMIR; MIDI; Ragas identification; base Ragas; carnatic music songs; classical music information retrieval; film songs; input polyphonic music signal; musical instrument devices; signal separation algorithm; swara sequence ant; Algorithm design and analysis; Computer science; Frequency; Image retrieval; Instruments; Multiple signal classification; Music information retrieval; Performance evaluation; Signal analysis; Testing; Arohana; Avarohana; Polyphonic;
Conference_Titel :
Dependable, Autonomic and Secure Computing, 2009. DASC '09. Eighth IEEE International Conference on
Conference_Location :
Chengdu
Print_ISBN :
978-0-7695-3929-4
Electronic_ISBN :
978-1-4244-5421-1
DOI :
10.1109/DASC.2009.155