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Theoretical learning guarantees applied to acoustic modeling (2019)

  • Authors:
  • Unidades: ICMC; ICMC
  • DOI: 10.1186/s13173-018-0081-3
  • Keywords: Acoustic modeling; Convolutional neural networks; Shallow learning; Speech recognition; Statistical learning theory; Support vector machines
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  • Language: Inglês
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    Informações sobre o DOI: 10.1186/s13173-018-0081-3 (Fonte: oaDOI API)
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    • ABNT

      SHULBY, Christopher D; FERREIRA, Martha D; MELLO, Rodrigo Fernandes de; ALUÍSIO, Sandra Maria. Theoretical learning guarantees applied to acoustic modeling. Journal of the Brazilian Computer Society, Heidelberg, SpringerOpen, v. 25, p. 1-12, 2019. Disponível em: < http://dx.doi.org/10.1186/s13173-018-0081-3 > DOI: 10.1186/s13173-018-0081-3.
    • 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.Available from: http://dx.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.Available from: http://dx.doi.org/10.1186/s13173-018-0081-3

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