SPIRA: Building an Intelligent System for Respiratory Insufficiency Detection
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arXiv
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| Autores principales: | , , , , |
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| Formato: | Preprint |
| Publicado: |
2025
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| Materias: | |
| Acceso en línea: | |
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| _version_ | 1866911102000955392 |
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| author | Ferreira, Renato Cordeiro Gomes, Dayanne Tamae, Vitor Wernke, Francisco Goldman, Alfredo |
| author_facet | Ferreira, Renato Cordeiro Gomes, Dayanne Tamae, Vitor Wernke, Francisco Goldman, Alfredo |
| contents | Respiratory insufficiency is a medic symptom in which a person gets a reduced amount of oxygen in the blood. This paper reports the experience of building SPIRA: an intelligent system for detecting respiratory insufficiency from voice. It compiles challenges faced in two succeeding implementations of the same architecture, summarizing lessons learned on data collection, training, and inference for future projects in similar systems. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2507_04548 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | SPIRA: Building an Intelligent System for Respiratory Insufficiency Detection Ferreira, Renato Cordeiro Gomes, Dayanne Tamae, Vitor Wernke, Francisco Goldman, Alfredo Software Engineering Artificial Intelligence Machine Learning D.2.11; D.2.7; I.2.7; I.5.4 Respiratory insufficiency is a medic symptom in which a person gets a reduced amount of oxygen in the blood. This paper reports the experience of building SPIRA: an intelligent system for detecting respiratory insufficiency from voice. It compiles challenges faced in two succeeding implementations of the same architecture, summarizing lessons learned on data collection, training, and inference for future projects in similar systems. |
| title | SPIRA: Building an Intelligent System for Respiratory Insufficiency Detection |
| topic | Software Engineering Artificial Intelligence Machine Learning D.2.11; D.2.7; I.2.7; I.5.4 |
| url | https://arxiv.org/abs/2507.04548 |