Please use this identifier to cite or link to this item: https://idr.nitk.ac.in/jspui/handle/123456789/8103
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dc.contributor.authorAshtamoorthy, A.
dc.contributor.authorPrasad, P.
dc.contributor.authorDhar, S.
dc.contributor.authorVijayasenan, D.
dc.date.accessioned2020-03-30T10:18:05Z-
dc.date.available2020-03-30T10:18:05Z-
dc.date.issued2018
dc.identifier.citationSPCOM 2018 - 12th International Conference on Signal Processing and Communications, 2018, Vol., , pp.172-176en_US
dc.identifier.urihttp://idr.nitk.ac.in/jspui/handle/123456789/8103-
dc.description.abstractHidden Markov Models used for computer music synthesis do not satisfactorily reproduce Indian Carnatic music and also require large training datasets. The essence of Indian Carnatic music is its micro-tonal frequency variations called Gamakas. In this work, we study the flute note properties, features that characterize the Gamakas, and hence attempt to devise a generalized method for synthesizing Carnatic music flute compositions. Our method uses additive sinusoidal synthesis coupled with a stochastic noise model. In time domain, splines are used to model the amplitude envelope to ensure a natural reconstruction. Integrated frequency contours are used for smooth concatenation of notes and modelling of Gamakas and notes. In order to evaluate our synthesis, we use a Mean Opinion Score (MOS) survey to compare our results with the baseline and the original recordings. The MOS of the proposed method is around 3.5 while the baseline is 2.3. � 2018 IEEE.en_US
dc.titleFrequency contour modeling to synthesize natural flute renditions for carnatic musicen_US
dc.typeBook chapteren_US
Appears in Collections:2. Conference Papers

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