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This paper presents ongoing research on convergence of speech features in human dialogues, in view of simulating this behaviour in spoken dialogue systems. The TAMA method (time-aligned moving average), previously used on monitoring convergence of acoustic prosodic (a/p) features, is applied to temporal properties of speech (between-turn pauses and overlaps). The results are compared to those of an older study on the same features.
Kousidis, S.& Dorran, D. (2009) Monitoring Convergence of Temporal Features in Spontaneous Dialogue Speech. 1st Young Researchers Workshop on Speech Technology, University College Dublin. Dublin, Ireland, 25th April.
European Union as part of the SALERO project (www.salero.info) through the IST programme under FP6. Part of the research was also funded by Technological University Dublin.