Monitoring Convergence of Temporal Features in Spontaneous Dialogue Speech

Autor: Kousidis, Spyros, Dorran, David
Přispěvatelé: 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.
Rok vydání: 2009
Předmět:
Zdroj: Conference papers
Popis: 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.
Databáze: OpenAIRE