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Perceptual and Category Processing of the Uncanny Valley Hypothesis' Dimension of Human Likeness: Some Methodological Issues
Published on: June 3, 2013
Categorization of voice disorders with six perceptual dimensions
L Leinonen1, T Hiltunen, M L Laakso
1Neural Networks Research Centre, Helsinki University of Technology, Espoo, Finland.
Abstract:
To obtain a perceptual reference for acoustic feature selection, 94 male and 124 female voices were categorized using the ratings of 6 clinicians on visual analog scales for pathology, roughness, breathiness, strain, asthenia, and pitch. Partial correlations showed that breathiness and roughness were the main determinants of pathology. The six-dimensional ratings (the six median scores for each voice) were categorized with the aid of the Sammon map and the self-organizing map. The five categories created differed with respect to the breathiness/roughness ratio and the degree of pathology.
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