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Full-Text Articles in Medicine and Health Sciences
Convergence In Human Dialogues Time Series Analysis Of Acoustic Feature, Spyros Kousidis, David Dorran, Ciaran Mcdonnell, Eugene Coyle
Convergence In Human Dialogues Time Series Analysis Of Acoustic Feature, Spyros Kousidis, David Dorran, Ciaran Mcdonnell, Eugene Coyle
Conference papers
Convergence of acoustic/prosodic (a/p) features between two speakers is a well-known property of human dialogue. It has been suggested that this particular aspect of human interaction should be implemented in spoken dialogue systems, so that they can be perceived as more “humanlike”. This paper presents a quantitative analysis method that can provide information required for modeling the phenomenon of convergence. The analysis is a combination of TAMA, a previously introduced data extraction method, and bivariate time series analysis. Results show significant correlation of a/p features between speaker dyads in the recorded dialogues analyzed, and indicate a significant,amount of feedback, which …
Monitoring Convergence Of Temporal Features In Spontaneous Dialogue Speech, Spyros Kousidis, David Dorran
Monitoring Convergence Of Temporal Features In Spontaneous Dialogue Speech, Spyros Kousidis, David Dorran
Conference papers
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.
Towards Measuring Continuous Acoustic Feature Convergence In Unconstrained Spoken Dialogues, Spyros Kousidis, David Dorran, Yi Wang, Brian Vaughan, Charlie Cullen, Dermot Campbell, Ciaran Mcdonnell, Eugene Coyle
Towards Measuring Continuous Acoustic Feature Convergence In Unconstrained Spoken Dialogues, Spyros Kousidis, David Dorran, Yi Wang, Brian Vaughan, Charlie Cullen, Dermot Campbell, Ciaran Mcdonnell, Eugene Coyle
Conference papers
Acoustic/prosodic feature (a/p) convergence has been known to occur both in dialogues between humans, as well as in human-computer interactions. Understanding the form and function of convergence is desirable for developing next generation conversational agents, as this will help increase speech recognition performance and naturalness of synthesized speech. Currently, the underlying mechanisms by which continuous and bi-directional convergence occurs are not well understood. In this study, a direct comparison between time-aligned frames shows significant similarity in acoustic feature variation between the two speakers. The method described (TAMA) constitutes a first step towards a quantitative analysis of a/p convergence.