This article looks into tendencies of the last decade in computational paralinguistics: ascertaining of speaker traits and states in voice, and the requirements set for the related speech corpora. It introduces the Estonian voice corpus and the ability to acoustically characterize voice likability and identify it automatically, using the expanded Geneva Minimalistic Acoustic Parameter Set (eGeMAPS) for voice research and affective computing.
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