Using automated acoustic analysis to explore the link between planning and articulation in second language speech production

Matthew Goldrick, Yosi Shrem, Oriana Kilbourn-Ceron, Cristina Baus, Joseph Keshet

Research output: Contribution to journalArticlepeer-review

Abstract

Speakers learning a second language show systematic differences from native speakers in the retrieval, planning, and articulation of speech. A key challenge in examining the interrelationship between these differences at various stages of production is the need for manual annotation of fine-grained properties of speech. We introduce a new method for automatically analysing voice onset time (VOT), a key phonetic feature indexing differences in sound systems cross-linguistically. In contrast to previous approaches, our method allows reliable measurement of prevoicing, a dimension of VOT variation used by many languages. Analysis of VOTs, word durations, and reaction times from German-speaking learners of Spanish (Baus et al., 2013) suggest that while there are links between the factors impacting planning and articulation, these two processes also exhibit some degree of independence. We discuss the implications of these findings for theories of speech production and future research in bilingual language processing.

Original languageEnglish
Pages (from-to)824-839
Number of pages16
JournalLanguage, Cognition and Neuroscience
Volume36
Issue number7
DOIs
StatePublished - 2021

Keywords

  • Bilingualism
  • automatic acoustic analysis
  • voice onset time

All Science Journal Classification (ASJC) codes

  • Experimental and Cognitive Psychology
  • Cognitive Neuroscience
  • Language and Linguistics
  • Linguistics and Language

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