Theoretical learning guarantees applied to acoustic modeling (2019)
- Authors:
- USP affiliated authors: MELLO, RODRIGO FERNANDES DE - ICMC ; ALUISIO, SANDRA MARIA - ICMC
- Unidade: ICMC
- DOI: 10.1186/s13173-018-0081-3
- Subjects: REDES NEURAIS; APRENDIZADO COMPUTACIONAL; RECONHECIMENTO DE VOZ
- Keywords: Acoustic modeling; Convolutional neural networks; Shallow learning; Speech recognition; Statistical learning theory; Support vector machines
- Agências de fomento:
- Language: Inglês
- Imprenta:
- Publisher place: Heidelberg
- Date published: 2019
- Source:
- Título: Journal of the Brazilian Computer Society
- ISSN: 1678-4804
- Volume/Número/Paginação/Ano: v. 25, p. 1-12, 2019
- Este periódico é de acesso aberto
- Este artigo NÃO é de acesso aberto
-
ABNT
SHULBY, Christopher D et al. Theoretical learning guarantees applied to acoustic modeling. Journal of the Brazilian Computer Society, v. 25, p. 1-12, 2019Tradução . . Disponível em: https://doi.org/10.1186/s13173-018-0081-3. Acesso em: 25 fev. 2026. -
APA
Shulby, C. D., Ferreira, M. D., Mello, R. F. de, & Aluísio, S. M. (2019). Theoretical learning guarantees applied to acoustic modeling. Journal of the Brazilian Computer Society, 25, 1-12. doi:10.1186/s13173-018-0081-3 -
NLM
Shulby CD, Ferreira MD, Mello RF de, Aluísio SM. Theoretical learning guarantees applied to acoustic modeling [Internet]. Journal of the Brazilian Computer Society. 2019 ; 25 1-12.[citado 2026 fev. 25 ] Available from: https://doi.org/10.1186/s13173-018-0081-3 -
Vancouver
Shulby CD, Ferreira MD, Mello RF de, Aluísio SM. Theoretical learning guarantees applied to acoustic modeling [Internet]. Journal of the Brazilian Computer Society. 2019 ; 25 1-12.[citado 2026 fev. 25 ] Available from: https://doi.org/10.1186/s13173-018-0081-3 - Acoustic modeling using a shallow CNN-HTSVM architecture
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Informações sobre o DOI: 10.1186/s13173-018-0081-3 (Fonte: oaDOI API)
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