Enhancing Infant Crying Detection with Gradient Boosting for Improved Emotional and Mental Health Diagnostics
Fuente:
arXiv
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| Autori principali: | , , , , , , , , |
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| Natura: | Preprint |
| Pubblicazione: |
2024
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| Soggetti: | |
| Accesso online: | |
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| _version_ | 1866911558918995968 |
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| author | Lee, Kyunghun Henry, Lauren M. Hansen, Eleanor Tandilashvili, Elizabeth Wakschlag, Lauren S. Norton, Elizabeth Pine, Daniel S. Brotman, Melissa A. Pereira, Francisco |
| author_facet | Lee, Kyunghun Henry, Lauren M. Hansen, Eleanor Tandilashvili, Elizabeth Wakschlag, Lauren S. Norton, Elizabeth Pine, Daniel S. Brotman, Melissa A. Pereira, Francisco |
| contents | Infant crying can serve as a crucial indicator of various physiological and emotional states. This paper introduces a comprehensive approach detecting infant cries within audio data. We integrate Wav2Vec with traditional audio features and employ Gradient Boosting Machines for cry classification. We validate our approach on a real world dataset, demonstrating significant performance improvements over existing methods. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2410_09236 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | Enhancing Infant Crying Detection with Gradient Boosting for Improved Emotional and Mental Health Diagnostics Lee, Kyunghun Henry, Lauren M. Hansen, Eleanor Tandilashvili, Elizabeth Wakschlag, Lauren S. Norton, Elizabeth Pine, Daniel S. Brotman, Melissa A. Pereira, Francisco Audio and Speech Processing Sound Infant crying can serve as a crucial indicator of various physiological and emotional states. This paper introduces a comprehensive approach detecting infant cries within audio data. We integrate Wav2Vec with traditional audio features and employ Gradient Boosting Machines for cry classification. We validate our approach on a real world dataset, demonstrating significant performance improvements over existing methods. |
| title | Enhancing Infant Crying Detection with Gradient Boosting for Improved Emotional and Mental Health Diagnostics |
| topic | Audio and Speech Processing Sound |
| url | https://arxiv.org/abs/2410.09236 |