Cochleogram-based adventitious sounds classification using convolutional neural networks
This work was supported in part under grant PID2020-119082RB-C21,C22 funded MCIN/AEI/10.13039/501100011033, grant 1257914 funded by Programa Operativo FEDER Andalucia 2014–2020, grant P18-RT-1994 funded by the Ministry of Economy, Knowledge and University, Junta de Andalucía, Spain, grant AYUD/2021/...
| Autores: | , , , , |
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| Tipo de recurso: | artículo |
| Fecha de publicación: | 2023 |
| País: | España |
| Institución: | Universidad de Oviedo (UNIOVI) |
| Repositorio: | RUO. Repositorio Institucional de la Universidad de Oviedo |
| Idioma: | inglés |
| OAI Identifier: | oai:digibuo.uniovi.es:10651/67847 |
| Acceso en línea: | http://hdl.handle.net/10651/67847 https://dx.doi.org/10.1016/j.bspc.2022.104555 |
| Access Level: | acceso abierto |
| Sumario: | This work was supported in part under grant PID2020-119082RB-C21,C22 funded MCIN/AEI/10.13039/501100011033, grant 1257914 funded by Programa Operativo FEDER Andalucia 2014–2020, grant P18-RT-1994 funded by the Ministry of Economy, Knowledge and University, Junta de Andalucía, Spain, grant AYUD/2021/50994 funded by Gobierno del Principado de Asturias, Spain and QUANTUM SPAIN project funded by the Ministry of Economic Affairs and Digital Transformation of the Spanish Government and the European Union through the Recovery, Transformation and Resilience Plan - NextGenerationEU. |
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