Abstract:The present study aims at investigating the power of acoustic measures to predict voice quality settings detected perceptually. The corpus was composed by speech samples recorded by 60 subjects. The audio samples were analyzed in PRAAT by means of the SG Expression Evaluator Script (Barbosa, 2009), which extracts f0 and f0 first derivate, intensity, spectral tilt and long-term average spectrum measures. The same samples were perceptually evaluated by means of the Voice Profile Analysis Scheme for Brazilian Por… Show more
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