Automatic music composition based on HMM and identified wavelets in musical instruments

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dc.contributor.author Sinith, M.S.
dc.contributor.author Murthy, K.V.V.
dc.contributor.other 2011 International Conference on Signal Processing, Communication, Computing and Networking Technologies (ICSCCN)
dc.date.accessioned 2014-04-23T13:55:33Z
dc.date.available 2014-04-23T13:55:33Z
dc.date.issued 2011
dc.identifier.citation Sinith, M.S. and Murthy, K.V.V., “Automatic music composition based on HMM and identified wavelets in musical instruments”, in 2011 International Conference on Signal Processing, Communication, Computing and Networking Technologies (ICSCCN), DOI: 10.1109/ICSCCN.2011.6024535, pp. 163–166, 2011. en_US
dc.identifier.uri http://dx.doi.org/10.1109/ICSCCN.2011.6024535
dc.identifier.uri https://repository.iitgn.ac.in/handle/123456789/1085
dc.description.abstract Automatic Music Composition plays a crucial role in the musical research and can become a tool for the incorporation of artificial intelligence in computer musicology. This paper finds an efficient method for identifying the wavelets and filter bank coefficients in musical instruments using NLMS algorithm and the usage of these wavelets for Automatic music Composition using Hidden Markov Model. In this paper, a technique to identify the scaling function and the wavelet functions of the wavelets present in musical instruments, violin and flute, is presented. NLMS algorithm is used to identify the filter bank coefficients of wavelet-like elements, found repeating in musical notes of the instruments. Pre-trained hidden markov models for each raga of South Indian Music is used for the composition. The HMM selected has twelve states which represent the twelve notes in South Indian music. Fundamental frequency tracking algorithm, followed by quantization is done. The resulting sequence of frequency jumps of different musical clips of same musical pattern (Raga) is presented to Hidden Markov Model of a particular Raga for training. The HMM model of that Raga along with the filter coefficient is used to regenerate a piece of music in that particular raga. The methodology is tested in the context of South Indian Classical Music, using the wavelet of classical music instruments, Flute and Violin. en_US
dc.description.statementofresponsibility by M.S. Sinith and K.V.V. Murthy
dc.format.extent pp. 163–166
dc.language.iso en en_US
dc.publisher Institute of Electrical and Electronics Engineers (IEEE) en_US
dc.subject Algorithm design and analysis en_US
dc.subject Hidden Markov models en_US
dc.subject Instruments en_US
dc.subject Least squares approximation en_US
dc.subject Signal processing en_US
dc.subject Signal processing algorithms en_US
dc.subject Wavelet transforms en_US
dc.title Automatic music composition based on HMM and identified wavelets in musical instruments en_US
dc.type Article en_US


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