When two people engage in verbal interaction, they tend to accommodate on a variety of linguistic levels. Although recent attention has focused on to the acoustic characteristics of convergence in speech, the underlying articulatory mechanisms remain to be explored. Using 3D electromagnetic articulography (EMA), we simultaneously recorded articulatory movements in two speakers engaged in an interactive verbal game, the domino task. In this task, the two speakers take turn in chaining bi-syllabic words according to a rhyming rule. By using a robust speaker identification strategy, we identified for which specific words speakers converged or diverged. Then, we explored the different vocal tract features characterizing speech accommodation. Our results suggest that tongue movements tend to slow down during convergence whereas maximal jaw opening during convergence and divergence differs depending on syllable position.

Analyzing vocal tract movements during speech accommodation

Fadiga, Luciano;D'Ausilio, Alessandro;
2018

Abstract

When two people engage in verbal interaction, they tend to accommodate on a variety of linguistic levels. Although recent attention has focused on to the acoustic characteristics of convergence in speech, the underlying articulatory mechanisms remain to be explored. Using 3D electromagnetic articulography (EMA), we simultaneously recorded articulatory movements in two speakers engaged in an interactive verbal game, the domino task. In this task, the two speakers take turn in chaining bi-syllabic words according to a rhyming rule. By using a robust speaker identification strategy, we identified for which specific words speakers converged or diverged. Then, we explored the different vocal tract features characterizing speech accommodation. Our results suggest that tongue movements tend to slow down during convergence whereas maximal jaw opening during convergence and divergence differs depending on syllable position.
2018
Dual EMA; Human-human interaction; Speech Convergence; Language and Linguistics; Human-Computer Interaction; Signal Processing; Software; Modeling and Simulation
File in questo prodotto:
File Dimensione Formato  
mukherjee18_interspeech.pdf

accesso aperto

Descrizione: Full text editoriale
Tipologia: Full text (versione editoriale)
Licenza: PUBBLICO - Pubblico con Copyright
Dimensione 579.87 kB
Formato Adobe PDF
579.87 kB Adobe PDF Visualizza/Apri

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11392/2398441
Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus 3
  • ???jsp.display-item.citation.isi??? 1
social impact