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Cochleogram-based adventitious sounds classification using convolutional neural networks

Author:
Mang, L. D.; Canadas Quesada, F. J.; Carabias Ortí, J. J.; Fernández-Combarro Álvarez, ElíasUniovi authority; Ranilla Pastor, JoséUniovi authority
Publication date:
2023
Publisher version:
http://dx.doi.org/10.1016/j.bspc.2022.104555
Citación:
Biomedical Signal Processing and Control, 82 (2023); doi:10.1016/j.bspc.2022.104555
URI:
http://hdl.handle.net/10651/67847
ISSN:
1746-8094
DOI:
10.1016/j.bspc.2022.104555
Patrocinado por:

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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© 2022 The Author(s).
This item is protected with a Creative Commons License