Prosody of speech production in latent post-stroke aphasia
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arXiv
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| Main Authors: | , , , |
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| Format: | Preprint |
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2024
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| _version_ | 1866914956220301312 |
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| author | Zhang, Cong Li, Tong DeDe, Gayle Salis, Christos |
| author_facet | Zhang, Cong Li, Tong DeDe, Gayle Salis, Christos |
| contents | This study explores prosodic production in latent aphasia, a mild form of aphasia associated with left-hemisphere brain damage (e.g. stroke). Unlike prior research on moderate to severe aphasia, we investigated latent aphasia, which can seem to have very similar speech production with neurotypical speech. We analysed the f0, intensity and duration of utterance-initial and utterance-final words of ten speakers with latent aphasia and ten matching controls. Regression models were fitted to improve our understanding of this understudied type of very mild aphasia. The results highlighted varying degrees of differences in all three prosodic measures between groups. We also investigated the diagnostic classification of latent aphasia versus neurotypical control using random forest, aiming to build a fast and reliable tool to assist with the identification of latent aphasia. The random forest analysis also reinforced the significance of prosodic features in distinguishing latent aphasia. |
| format | Preprint |
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arxiv_https___arxiv_org_abs_2408_11882 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | Prosody of speech production in latent post-stroke aphasia Zhang, Cong Li, Tong DeDe, Gayle Salis, Christos Neurons and Cognition Sound Audio and Speech Processing Quantitative Methods This study explores prosodic production in latent aphasia, a mild form of aphasia associated with left-hemisphere brain damage (e.g. stroke). Unlike prior research on moderate to severe aphasia, we investigated latent aphasia, which can seem to have very similar speech production with neurotypical speech. We analysed the f0, intensity and duration of utterance-initial and utterance-final words of ten speakers with latent aphasia and ten matching controls. Regression models were fitted to improve our understanding of this understudied type of very mild aphasia. The results highlighted varying degrees of differences in all three prosodic measures between groups. We also investigated the diagnostic classification of latent aphasia versus neurotypical control using random forest, aiming to build a fast and reliable tool to assist with the identification of latent aphasia. The random forest analysis also reinforced the significance of prosodic features in distinguishing latent aphasia. |
| title | Prosody of speech production in latent post-stroke aphasia |
| topic | Neurons and Cognition Sound Audio and Speech Processing Quantitative Methods |
| url | https://arxiv.org/abs/2408.11882 |