Teri Hiltunen

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The expression of "naming," "commanding," "angry," "frightened," "pleading," "astonished," "satisfied," "admiring," "scornful," and "sad" was with the word [saara] spoken by 12 subjects. Using the same connotations, the 120 utterances were categorized by 73 listeners. Most samples were agreed on by 50%-99% of the judges. Most samples of "astonished,"(More)
The self-organizing map, a neural network algorithm of Kohonen, was used for the detection of coarticulatory variation of fricative [s] preceding vowels [a:], [i:], and [u:]. The results were compared with the psychoacoustic classification of the same samples to find out whether the map had extracted perceptually meaningful features of [s]. The map(More)
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(More)
The self-organizing map (a neural network) was applied to the spectral pattern recognition of voice quality in 34 subjects: 15 patients operated on because of insufficient glottal closure and 19 subjects not treated for voice disorders. The voice samples, segments of sustained /a/, were perceptually rated by six experts. A self-organized acoustic feature(More)
Acoustic differences between samples of [i], [u], and [a] uttered in nose-open and nose-obstructed condition were studied in 6 women with isolated cleft palate and pathological nasalance scores and 9 healthy women with normal nasalance scores. The speech samples were depicted by 14-component vocal tract area feature vectors obtained by linear prediction and(More)
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