Evaluating robustness to noise and compression of deep neural networks for keyword spotting (2023)
Pereira, Pedro Henrique; Beccaro, Wesley; Arjona Ramírez, Miguel 
Source: IEEE Access. Unidades: EP, ICMC
Subjects: RECONHECIMENTO DA FALA, ANÁLISE DO DISCURSO, ANÁLISE ESPECTRAL, PALAVRAS-CHAVE
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PEREIRA, Pedro Henrique e BECCARO, Wesley e ARJONA RAMÍREZ, Miguel. Evaluating robustness to noise and compression of deep neural networks for keyword spotting. IEEE Access, v. 11, p. 53224-53236, 2023Tradução . . Disponível em: https://doi.org/10.1109/ACCESS.2023.3280477. Acesso em: 02 jun. 2024.APA
Pereira, P. H., Beccaro, W., & Arjona Ramírez, M. (2023). Evaluating robustness to noise and compression of deep neural networks for keyword spotting. IEEE Access, 11, 53224-53236. doi:10.1109/ACCESS.2023.3280477NLM
Pereira PH, Beccaro W, Arjona Ramírez M. Evaluating robustness to noise and compression of deep neural networks for keyword spotting [Internet]. IEEE Access. 2023 ;11 53224-53236.[citado 2024 jun. 02 ] Available from: https://doi.org/10.1109/ACCESS.2023.3280477Vancouver
Pereira PH, Beccaro W, Arjona Ramírez M. Evaluating robustness to noise and compression of deep neural networks for keyword spotting [Internet]. IEEE Access. 2023 ;11 53224-53236.[citado 2024 jun. 02 ] Available from: https://doi.org/10.1109/ACCESS.2023.3280477
