Which Prosodic Features Matter Most for Pragmatics?

We investigate which prosodic features matter most in conveying pragmatic functions. We use the problem of predicting human perceptions of pragmatic similarity among utterance pairs to evaluate the utility of prosodic features of different types. We find evidence that the duration-related features are most important, that pitch-related features are much less important and less adequate, and that complete modeling will require additional acoustic and prosodic features, including nasality and phonetic reduction. These findings can guide future basic research in prosody, and suggest how to improve speech synthesis evaluation, among other applications.

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Publication Details

Published
2025-03-12
DOI
https://doi.org/10.1109/icassp49660.2025.10889382
Citations
2
Primary Topic
Natural Language Processing Techniques
Type
article
Field-Weighted Citation Impact
4.96

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article

Which Prosodic Features Matter Most for Pragmatics?

Olac Fuentes, Nigel G. Ward, Divette Marco
2 citations
Natural Language Processing Techniques
4.96
article

Which Prosodic Features Matter Most for Pragmatics?

Olac Fuentes, Nigel G. Ward, Divette Marco
article en
2 citations

Abstract

We investigate which prosodic features matter most in conveying pragmatic functions. We use the problem of predicting human perceptions of pragmatic similarity among utterance pairs to evaluate the utility of prosodic features of different types. We find evidence that the duration-related features are most important, that pitch-related features are much less important and less adequate, and that complete modeling will require additional acoustic and prosodic features, including nasality and phonetic reduction. These findings can guide future basic research in prosody, and suggest how to improve speech synthesis evaluation, among other applications.

The University of Texas at El Paso (US)
National Science Foundation, U.S. Department of Education, Institute of Education Sciences
Reduced inequalities
Openalex Percentile: Top 6%
Natural Language Processing Techniques
4.96
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