Prosodic analysis in human-machine interaction

Authors

  • Maria Di Maro Dipartimento di Studi Umanistici, Università degli Studi di Napoli ‘Federico II’
  • Sara Falcone CIMeC, Università degli Studi di Trento
  • Francesco Cutugno Dipartimento di Ingegneria Elettrica e delle Tecnologie dell’Informazione, Università degli Studi di Napoli “Federico II”, via Claudio 21, 80125 Napoli

DOI:

https://doi.org/10.17469/O2104AISV000013

Keywords:

human-machine interaction, spoken dialogue systems, pitch, speaking rate, vowel space, hyperarticulation

Abstract

In this paper, we are going to present some experiments concerning the analysis of prosodic features in the spoken production of requests by human users in human-machine interactions. The main aim of this analysis is to understand if and how much a speaker adapts the spoken production to his/her virtual interlocutor, and to which extent this could be caused by the type of user and his/her representational preconception towards the specific interaction. The collected results are, therefore, considered as an important means for developing spoken dialogue systems whose speech recognition module skills are better suited to the characteristic of the human interlocutor.

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Published

31-12-2018