Classification of Adventitious Sounds Combining Cochleogram and Vision Transformers

This is the publish version of the following article: [Loredana Daria Mang, Francisco David González Martínez, Damian Martinez Muñoz, Sebastián García Galán and Raquel Cortina (2024). Classification of Adventitious Sounds Combining Cochleogram and Vision Transformers. Sensors Volume 24 Issue 2], whi...

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Detalles Bibliográficos
Autores: Daria Mang, Loredana, González Martínez, Francisco David, Martinez Muñoz, Damián, García Galán, Sebastián, Cortina, Raquel
Tipo de recurso: artículo
Estado:Versión publicada
Fecha de publicación:2024
País:España
Institución:Universidad de Jaén
Repositorio:RUJA. Repositorio Institucional de la Producción Científica de la Universidad de Jaén
OAI Identifier:oai:ruja.ujaen.es:10953/3303
Acceso en línea:https://doi.org/10.3390/s24020682
https://www.mdpi.com/1424-8220/24/2/682
https://hdl.handle.net/10953/3303
Access Level:acceso abierto
Palabra clave:classification
adventitious sounds
cochleogram
vision transformers
deep learning
accuracy
Descripción
Sumario:This is the publish version of the following article: [Loredana Daria Mang, Francisco David González Martínez, Damian Martinez Muñoz, Sebastián García Galán and Raquel Cortina (2024). Classification of Adventitious Sounds Combining Cochleogram and Vision Transformers. Sensors Volume 24 Issue 2], which has been published at [https://doi.org/10.3390/s24020682] This article may be used for non-commercial purposes in accordance with Sensors terms and conditions for use of self-archived versions. This article may not be enhanced, enriched or otherwise transformed into a derivative work, without express permission from Sensors or by statutory rights under applicable legislation. Copyright notices must not be removed, obscured or modified. The article must be linked to Sensors´s version of record on Sensors online library and any embedding, framing or otherwise making available the article or pages thereof by third parties from platforms, services and websites other than Sensors online library must be prohibited.