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ICASSP
2011
IEEE

Estimation of fundamental frequency from surface electromyographic data: EMG-to-F0

8 years 9 months ago
Estimation of fundamental frequency from surface electromyographic data: EMG-to-F0
In this paper, we present our recent studies of F0 estimation from the surface electromyographic (EMG) data using a Gaussian mixture model (GMM)-based voice conversion (VC) technique, referred to as EMG-to-F0. In our approach, a support vector machine recognizes individual frames as unvoiced and voiced (U/V), and voiced F0 contours are discriminated by the trained GMM based on the manner of minimum mean-square error. EMG-to-F0 is experimentally evaluated using three data sets of different speakers. Each data set includes almost 500 utterances. Objective experiments demonstrate that we achieve a correlation coefficient of up to 0.49 between estimated and target F0 contours with more than 84% U/V decision accuracy, although the results have large variations.
Keigo Nakamura, Matthias Janke, Michael Wand, Tanj
Added 21 Aug 2011
Updated 21 Aug 2011
Type Journal
Year 2011
Where ICASSP
Authors Keigo Nakamura, Matthias Janke, Michael Wand, Tanja Schultz
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