Urban sound classifcation using neural networks on embedded FPGAs
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Títol
Urban sound classifcation using neural networks on embedded FPGAsAutoria
Data de publicació
2024-03-01Editor
SpringerISSN
0920-8542; 1573-0484Cita bibliogràfica
Belloch, J.A., Coronado, R., Valls, O. et al. Urban sound classification using neural networks on embedded FPGAs. J Supercomput (2024). https://doi.org/10.1007/s11227-024-05947-8Tipus de document
info:eu-repo/semantics/articleVersió
info:eu-repo/semantics/publishedVersionParaules clau / Matèries
Resum
Sound classifcation using neural networks has recently produced very accurate
results. A large number of diferent applications use this type of sound classifers
such as controlling and monitoring the type of activity ... [+]
Sound classifcation using neural networks has recently produced very accurate
results. A large number of diferent applications use this type of sound classifers
such as controlling and monitoring the type of activity in a city or identifying different types of animals in natural environments. While traditional acoustic processing applications have been developed on high-performance computing platforms
equipped with expensive multi-channel audio interfaces, the Internet of Things (IoT)
paradigm requires the use of more fexible and energy-efcient systems. Although
software-based platforms exist for implementing general-purpose neural networks,
they are not optimized for sound classifcation, wasting energy and computational
resources. In this work, we have used FPGAs to develop an ad hoc system where
only the hardware needed for our application is synthesized, resulting in faster and
more energy-efcient circuits. The results show that our developments are accelerated by a factor of 35 compared to a software-based implementation on a Raspberry
Pi. [-]
Dades relacionades
No additional data or materials available.Entitat finançadora
CRUE-CSIC agreement with Springer Nature | NextGenerationEU/PRTR | Ministerio de Ciencia, Innovación y Universidades | Generalitat Valenciana
Codi del projecte o subvenció
MCIN/AEI/10.13039/501100011033 | PID2020-113656RB | PID2021-124280OB-C21 | PID2022-137048OA-C43 | TED2021-131401B-C21 (DIPSY-AI) | TED2021-131401A-C22 (DIPSYTECH) | CIDEXG/2022/013
Títol del projecte o subvenció
ERDF A way of making Europe
Drets d'accés
© The Author(s) 2024
info:eu-repo/semantics/openAccess
info:eu-repo/semantics/openAccess
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