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Monitoring Convergence of Temporal Features in Spontaneous Dialogue Speech |
Kousidis, Spyros; Dorran, David
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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.
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Keyword(s):
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Speech; Life Sciences; Medicine and Health Sciences |
Publication Date:
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2009 |
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Type:
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Conference item |
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Peer-Reviewed:
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Unknown |
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Contributor(s):
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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 Dublin Institute of Technology. |
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Institution:
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Dublin Institute of Technology |
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Citation(s):
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Conference papers |
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Publisher(s):
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Dublin Institute of Technology |
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File Format(s):
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application/pdf |
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First Indexed:
2009-11-23 16:23:37 Last Updated:
2017-12-14 06:41:05 |
