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Chironomic stylization of intonation. | LitMetric

AI Article Synopsis

  • Intonation stylization is explored through "chironomy," linking hand gestures to voice patterns, using a task where participants mimic intonation via a stylus on a tablet.
  • Differences between gestural and vocal imitations of sentences are analyzed, including performance assessments and perceptual testing to gauge quality.
  • Results show that while chironomic imitation can accurately stylize intonation, vocal imitation tends to be more effective, although the best gestural copies are nearly indistinguishable from natural intonation, especially in female speech.

Article Abstract

Intonation stylization is studied using "chironomy," i.e., the analogy between hand gestures and prosodic movements. An intonation mimicking paradigm is used. The task of the ten subjects is to copy the intonation pattern of sentences with the help of a stylus on a graphic tablet, using a system for real-time manual intonation modification. Gestural imitation is compared to vocal imitation of the same sentences (seven for a male speaker, seven for a female speaker). Distance measures between gestural copies, vocal imitations, and original sentences are computed for performance assessment. Perceptual testing is also used for assessing the quality of gestural copies. The perceptual difference between natural and stylized contours is measured using a mean opinion score paradigm for 15 subjects. The results indicate that intonation contours can be stylized with accuracy by chironomic imitation. The results of vocal imitation and chironomic imitation are comparable, but subjects show better imitation results in vocal imitation. The best stylized contours using chironomy seems perceptually indistinguishable or almost indistinguishable from natural contours, particularly for female speech. This indicates that chironomic stylization is effective, and that hand movements can be analogous to intonation movements.

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Source
http://dx.doi.org/10.1121/1.3531802DOI Listing

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