Document Type

Conference Paper


Available under a Creative Commons Attribution Non-Commercial Share Alike 4.0 International Licence


Computer Sciences

Publication Details

12th Annual Conference of the International Speech Communication Association. Florence, Italy, 2011.


Prosodic synchrony has been reported to be an important as-pect of conversational dyads. In this paper, synchrony in fourdifferent dyads is examined. A Time Aligned Moving Aver-age (TAMA) procedure is used to temporally align the prosodicmeasurements for the detection of synchrony in the dyads. Anoverlapping windowed correlation procedure is used to measuresynchrony for six different prosodic parameters: mean pitch,pitch range, mean intensity, intensity range, centre of gravityand spectral slope. This study shows that a windowed corre-lation procedure better captures the dynamic nature of speechsynchrony than a single measure across a whole conversation.This method also enables points of concurrent synchrony be-tween prosodic parameters to be detected. Moreover, the syn-chrony of the prosodic parameters was considered in relation tolevels of agreement and disagreement in the four dyads. Re-sults show only one parameter in one dyad to be significantlycorrelated with agreement/disagreement.