NDLI: Automatic Music Composition based on HMM and identified wavelets in musical instruments

Content Provider	IEEE Xplore Digital Library
Author	Sinith, M.S. Murthy, K.V.V.
Copyright Year	2011
Description	Author affiliation: Dept. of Electronics and Communication Engineering, College of Engineering, Trivandrum, India (Sinith, M.S.) \|\| Dept. of Electrical Engineering, Indian Institute of Technology Gandhinagar, India (Murthy, K.V.V.)
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 algortithm 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.
Starting Page	163
Ending Page	166
File Size	667309
Page Count	4
File Format	PDF
ISBN	9781612846545
e-ISBN	9781612846538
DOI	10.1109/ICSCCN.2011.6024535
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2011-07-21
Publisher Place	India
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Wavelet transforms Algorithm design and analysis Instruments Hidden Markov models Signal processing algorithms Signal processing Least squares approximation
Content Type	Text
Resource Type	Article

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
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4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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