Modeling Sarcastic Speech: Semantic and Prosodic Cues in a Speech Synthesis Framework
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arXiv
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| Auteurs principaux: | , , , , |
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| Format: | Preprint |
| Publié: |
2025
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| _version_ | 1866911417159909376 |
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| author | Li, Zhu Zhang, Yuqing Gao, Xiyuan Nayak, Shekhar Coler, Matt |
| author_facet | Li, Zhu Zhang, Yuqing Gao, Xiyuan Nayak, Shekhar Coler, Matt |
| contents | Sarcasm is a pragmatic phenomenon in which speakers convey meanings that diverge from literal content, relying on an interaction between semantics and prosodic expression. However, how these cues jointly contribute to the recognition of sarcasm remains poorly understood. We propose a computational framework that models sarcasm as the integration of semantic interpretation and prosodic realization. Semantic cues are derived from an LLaMA 3 model fine-tuned to capture discourse-level markers of sarcastic intent, while prosodic cues are extracted through semantically aligned utterances drawn from a database of sarcastic speech, providing prosodic exemplars of sarcastic delivery. Using a speech synthesis testbed, perceptual evaluations demonstrate that both semantic and prosodic cues independently enhance listeners' perception of sarcasm, with the strongest effects emerging when the two are combined. These findings highlight the complementary roles of semantics and prosody in pragmatic interpretation and illustrate how modeling can shed light on the mechanisms underlying sarcastic communication. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2510_07096 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | Modeling Sarcastic Speech: Semantic and Prosodic Cues in a Speech Synthesis Framework Li, Zhu Zhang, Yuqing Gao, Xiyuan Nayak, Shekhar Coler, Matt Computation and Language Sound Audio and Speech Processing Sarcasm is a pragmatic phenomenon in which speakers convey meanings that diverge from literal content, relying on an interaction between semantics and prosodic expression. However, how these cues jointly contribute to the recognition of sarcasm remains poorly understood. We propose a computational framework that models sarcasm as the integration of semantic interpretation and prosodic realization. Semantic cues are derived from an LLaMA 3 model fine-tuned to capture discourse-level markers of sarcastic intent, while prosodic cues are extracted through semantically aligned utterances drawn from a database of sarcastic speech, providing prosodic exemplars of sarcastic delivery. Using a speech synthesis testbed, perceptual evaluations demonstrate that both semantic and prosodic cues independently enhance listeners' perception of sarcasm, with the strongest effects emerging when the two are combined. These findings highlight the complementary roles of semantics and prosody in pragmatic interpretation and illustrate how modeling can shed light on the mechanisms underlying sarcastic communication. |
| title | Modeling Sarcastic Speech: Semantic and Prosodic Cues in a Speech Synthesis Framework |
| topic | Computation and Language Sound Audio and Speech Processing |
| url | https://arxiv.org/abs/2510.07096 |