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Mid-sagittal video from Electromagnetic Articulography (EMA)

(Five illustrative videos from male and female subjects of MOCHA-TIMIT corpus)

Maximum a-posteriori estimation of missing samples with continuity constraint in electromagnetic articulography data (ICASSP 2014)

Electromagnetic Articulography (EMA) technique is used to record the kinematics of different articulators while one speaks. EMA data often contains missing segments due to sensor failure. In this work, we propose a maximum a-posteriori (MAP) estimation with continuity constraint to recover the missing samples in the articulatory trajectories recorded using EMA. In this approach, we combine the benefits of statistical MAP estimation as well as the temporal continuity of the articulatory trajectories.

Click to download Matlab code