DeepSpectrumLite: A Power-Efficient Transfer Learning Framework for Embedded Speech and Audio Processing From Decentralized Data

Deep neural speech and audio processing systems have a large number of trainable parameters, a relatively complex architecture, and require a vast amount of training data and computational power. These constraints make it more challenging to integrate such systems into embedded devices and utilize t...

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Detalles Bibliográficos
Autores principales: Amiriparian, Shahin, Hübner, Tobias, Karas, Vincent, Gerczuk, Maurice, Ottl, Sandra, Schuller, Björn W.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Artificial Intelligence
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8969434/
https://www.ncbi.nlm.nih.gov/pubmed/35372830
http://dx.doi.org/10.3389/frai.2022.856232

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8969434/
https://www.ncbi.nlm.nih.gov/pubmed/35372830
http://dx.doi.org/10.3389/frai.2022.856232

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