Structure in conversation: Evidence for the vocabulary, semantics, and syntax of prosody

Prosody, the musical facet of speech, is pivotal in human communication, and its structure and meaning remain subjects of ongoing research. In this study, we introduce a data-driven model for English prosody, based on large-scale analysis of spontaneous conversations. As a first step, we identify approximately 200 discernible prosodic patterns-which we view as building blocks of the prosodic vocabulary-and outline their properties and range of meanings. Next, we reveal a Markovian logic, akin to a syntax, for concatenating these elementary building blocks into coherent utterances. We identify distinct compound functions associated with pairs of consecutive patterns and show that the Markovian syntax is more prevalent in spontaneous prosody, as compared to scripted speech. These findings offer invaluable insights into the underlying mechanisms of conversational prosody: They empirically inform and refine existing theoretical concepts. The methodology we present, combining unsupervised analysis of large datasets of spontaneous speech with manual sampling of the results, could guide future research aimed at refining our model and expanding it to other languages.

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Publication Details

Journal
Proceedings of the National Academy of Sciences
Published
2025-04-21
DOI
https://doi.org/10.1073/pnas.2403262122
Citations
2
Primary Topic
Speech and dialogue systems
Type
article
Field-Weighted Citation Impact
4.96

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article

Structure in conversation: Evidence for the vocabulary, semantics, and syntax of prosody

Nadav Matalon, Eyal Weinreb, Dominik Freche, David Biron et al.
2 citations
Proceedings of the National Academy of Sciences
Speech and dialogue systems
4.96
article

Structure in conversation: Evidence for the vocabulary, semantics, and syntax of prosody

Nadav Matalon, Eyal Weinreb, Dominik Freche, David Biron, Tirza Biron, Elisha Moses, Erez Volk
article en
2 citations

Abstract

Prosody, the musical facet of speech, is pivotal in human communication, and its structure and meaning remain subjects of ongoing research. In this study, we introduce a data-driven model for English prosody, based on large-scale analysis of spontaneous conversations. As a first step, we identify approximately 200 discernible prosodic patterns-which we view as building blocks of the prosodic vocabulary-and outline their properties and range of meanings. Next, we reveal a Markovian logic, akin to a syntax, for concatenating these elementary building blocks into coherent utterances. We identify distinct compound functions associated with pairs of consecutive patterns and show that the Markovian syntax is more prevalent in spontaneous prosody, as compared to scripted speech. These findings offer invaluable insights into the underlying mechanisms of conversational prosody: They empirically inform and refine existing theoretical concepts. The methodology we present, combining unsupervised analysis of large datasets of spontaneous speech with manual sampling of the results, could guide future research aimed at refining our model and expanding it to other languages.

Proceedings of the National Academy of SciencesVol. 122(17)
nLIGHT (United States) (US), Hebrew University of Jerusalem (IL), University of Chicago (US), Weizmann Institute of Science (IL)
Minerva Foundation
Quality Education
Openalex Percentile: Top 6%
Speech and dialogue systems
4.96
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Structure in conversation: Evidence for the vocabulary, semantics, and syntax of prosody — Nadav Matalon, Eyal Weinreb, et al. · Proceedings of the National Academy of Sciences (2025) | TGRS Research Map | TGRS