Information structure, affect, and prenuclear prominence in American English

Eleanor Chodroff, Jennifer Cole

Research output: Contribution to journalConference articlepeer-review

10 Scopus citations


The influence of information structure (IS: givenness, accessibility, newness and focus) on pitch accent assignment and acoustic prominence measures of prenuclear words was investigated for American English speech elicited through read production of mini-stories. Results showed a consistent pattern of accenting the initial content word in the sentence, supporting an analysis of prenuclear accent as structural, or 'rhythmic'. While no association was observed between IS and accent type (e.g., H*, L*, L+H*, L*+H), the acoustic-phonetic realization of prominence was modulated by information structure. In particular, words that carry contrastive focus generally showed more extreme f0 excursions relative to the average. In addition, there was a strong influence of speaking style or 'affect' on both pitch accent type and the acoustic-phonetic realization of prominence. Speakers were more likely to produce L+H* accents in a lively than a neutral speaking style. Differences in affect were also strongly reflected in f0 excursion, duration, and amplitude within the target word. Overall, this study indicates both linguistic (information structure) and paralinguistic (affect) influences on the phonetic implementation of prenuclear prominence, with varying influence of these two factors on the phonological assignment of prenuclear pitch accents.

Original languageEnglish (US)
Pages (from-to)1848-1852
Number of pages5
JournalProceedings of the Annual Conference of the International Speech Communication Association, INTERSPEECH
StatePublished - 2018
Event19th Annual Conference of the International Speech Communication, INTERSPEECH 2018 - Hyderabad, India
Duration: Sep 2 2018Sep 6 2018


  • Affect
  • Information structure
  • Prenuclear position
  • Prosody
  • Speaking style
  • Speech production

ASJC Scopus subject areas

  • Language and Linguistics
  • Human-Computer Interaction
  • Signal Processing
  • Software
  • Modeling and Simulation


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