In this talk, we describe an approach to the measurement and analysis of expressive language and musical performance that allows both emergent and familiar events to be quantified in the instantaneous correlation patterns between signals. Our method demonstrates that spatial and temporal coordination within and between performing individuals is ubiquitous and can be accurately assessed so long as temporal fluctuations in the pattern structure are incorporated into the analysis.
We also demonstrate the value of optical flow analysis as a non-invasive and labor-saving means of recovering two-dimensional motion from video recordings. What was previously thought to be a crude method of motion capture, when pooled for defined regions of interest, provides sensitive measures of performance behavior. We exemplify the motion capture and correlation analysis techniques using conversational data from: English, Shona (Zimbabwe), and Plains Cree (Western Canada); the integration of posture, respiration, and vocalization in speech and song; and the expressive coordination between pianist and vocalist in Lieder/Art Song.
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