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DC Field | Value | Language |
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dc.contributor.author | Ashtamoorthy, A. | |
dc.contributor.author | Prasad, P. | |
dc.contributor.author | Dhar, S. | |
dc.contributor.author | Vijayasenan, D. | |
dc.date.accessioned | 2020-03-30T10:18:05Z | - |
dc.date.available | 2020-03-30T10:18:05Z | - |
dc.date.issued | 2018 | |
dc.identifier.citation | SPCOM 2018 - 12th International Conference on Signal Processing and Communications, 2018, Vol., , pp.172-176 | en_US |
dc.identifier.uri | http://idr.nitk.ac.in/jspui/handle/123456789/8103 | - |
dc.description.abstract | Hidden 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.title | Frequency contour modeling to synthesize natural flute renditions for carnatic music | en_US |
dc.type | Book chapter | en_US |
Appears in Collections: | 2. Conference Papers |
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