Abstract
Spoken dialogue systems are increasingly being developed to process the linguistic aspect of communication, yet they meet difficulties to capture the complex dynamics of social interaction. In particular, prosodic accommodation of conversational partners governed by the need for social approval has proved to enhance effectiveness of conversation. Providing automatic systems with the capacity to exhibit accommodation could improve their efficiency and make machines more likable and user-friendly. This article investigates the occurrence of mutual adaptation in human-human interaction, presenting the results on the dynamics of prosodic convergence and divergence in naturally occurring spoken dialogues by means of pitch and pitch range. The converging points are recurring lexemes – keywords produced by both speakers – showing evidence for thematic and prosodic unity of accommodation. Three prosodic interaction models are observed: convergence – divergence; convergence – intensified convergence; divergence – convergence. The three models of interaction show structural variance, convergence being their common feature. The results of the Mann-Whitney test show evidence that in the middle of a dyad the distinction in pitch between interlocutors is significantly less than at the end.
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Gorbyleva, A. (2023). Prosodic Interaction Models in a Conversation. In: Karpov, A., Samudravijaya, K., Deepak, K.T., Hegde, R.M., Agrawal, S.S., Prasanna, S.R.M. (eds) Speech and Computer. SPECOM 2023. Lecture Notes in Computer Science(), vol 14338. Springer, Cham. https://doi.org/10.1007/978-3-031-48309-7_31
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DOI: https://doi.org/10.1007/978-3-031-48309-7_31
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