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- W2403321691 abstract "for Characterizing Expressive Dynamic Components Yasunori Ohishi, Hirokazu Kameoka, Daichi Mochihashi, Kunio Kashino, NTT Communication Science Laboratories, NTT Corporation, Japan Summary: Our goal is to characterize expressive dynamic components of the singing voice fundamental frequency (F0) contours, such as Vibrato and Portamento, using a stochastic model. We propose a process of generating the F0 contours and a statistical framework of the model parameter estimation. Experimental results show that our method successfully extracts the expressive components. Applications: Extracting expressive dynamic components from a raw F0 contour automatically can be potentially very beneficial for any singing voice applications, such as singer identification, singing skill evaluation, the synthesis of more natural and varied singing voices, and singing voice conversion. Introduction Method Evaluation" @default.
- W2403321691 created "2016-06-24" @default.
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- W2403321691 date "2012-09-09" @default.
- W2403321691 modified "2023-09-30" @default.
- W2403321691 title "A stochastic model of singing voice F0 contours for characterizing expressive dynamic components" @default.
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- W2403321691 doi "https://doi.org/10.21437/interspeech.2012-161" @default.
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