Source: Electronics. Unidade: EP
Subjects: APRENDIZAGEM PROFUNDA, ANÁLISE ESPECTRAL, PALAVRAS-CHAVE, RECONHECIMENTO DA FALA
ABNT
PEREIRA, Pedro Henrique e BECCARO, Wesley e ARJONA RAMÍREZ, Miguel. Advantages and pitfalls of dataset condensation: an approach to keyword spotting with time-frequency representations. Electronics, v. 13, n. 11, p. 1-13, 2024Tradução . . Disponível em: https://doi.org/10.3390/electronics13112097. Acesso em: 07 set. 2024.APA
Pereira, P. H., Beccaro, W., & Arjona Ramírez, M. (2024). Advantages and pitfalls of dataset condensation: an approach to keyword spotting with time-frequency representations. Electronics, 13( 11), 1-13. doi:10.3390/electronics13112097NLM
Pereira PH, Beccaro W, Arjona Ramírez M. Advantages and pitfalls of dataset condensation: an approach to keyword spotting with time-frequency representations [Internet]. Electronics. 2024 ; 13( 11): 1-13.[citado 2024 set. 07 ] Available from: https://doi.org/10.3390/electronics13112097Vancouver
Pereira PH, Beccaro W, Arjona Ramírez M. Advantages and pitfalls of dataset condensation: an approach to keyword spotting with time-frequency representations [Internet]. Electronics. 2024 ; 13( 11): 1-13.[citado 2024 set. 07 ] Available from: https://doi.org/10.3390/electronics13112097