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Monitoring Convergence of Temporal Features in Spontaneous Dialogue Speech
Kousidis, Spyros; Dorran, David
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.
Keyword(s): Speech; Life Sciences; Medicine and Health Sciences
Publication Date:
Type: Conference item
Peer-Reviewed: Unknown
Contributor(s): European Union as part of the SALERO project ( through the IST programme under FP6. Part of the research was also funded by Dublin Institute of Technology.
Institution: Dublin Institute of Technology
Citation(s): Conference papers
Publisher(s): Dublin Institute of Technology
File Format(s): application/pdf
First Indexed: 2009-11-23 16:23:37 Last Updated: 2017-12-14 06:41:05