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Volumn , Issue , 2017, Pages

Samplernn: An unconditional end-to-end neural audio generation model

Author keywords

[No Author keywords available]

Indexed keywords

MULTILAYER NEURAL NETWORKS;

EID: 85088227413     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (248)

References (29)
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    • Yoshua Bengio and Samy Bengio. Modeling high-dimensional discrete data with multi-layer neural networks. In NIPS, volume 99, pp. 400-406, 1999.
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    • Bengio, Y.1    Bengio, S.2
  • 2
    • 84857855190 scopus 로고    scopus 로고
    • Random search for hyper-parameter optimization
    • Feb
    • James Bergstra and Yoshua Bengio. Random search for hyper-parameter optimization. Journal of Machine Learning Research, 13(Feb):281-305, 2012.
    • (2012) Journal of Machine Learning Research , vol.13 , pp. 281-305
    • Bergstra, J.1    Bengio, Y.2
  • 7
    • 85057230110 scopus 로고
    • Hierarchical recurrent neural networks for long-term dependencies
    • Citeseer
    • Salah El Hihi and Yoshua Bengio. Hierarchical recurrent neural networks for long-term dependencies. In NIPS, volume 400, pp. 409. Citeseer, 1995.
    • (1995) NIPS , vol.400 , pp. 409
    • Hihi, S.E.1    Bengio, Y.2
  • 13
    • 84994352709 scopus 로고    scopus 로고
    • The unreasonable effectiveness of recurrent neural networks
    • Andrej Karpathy. The unreasonable effectiveness of recurrent neural networks. Andrej Karpathy blog, 2015.
    • (2015) Andrej Karpathy Blog
    • Karpathy, A.1
  • 16
    • 84862524901 scopus 로고    scopus 로고
    • The neural autoregressive distribution estimator
    • Hugo Larochelle and Iain Murray. The neural autoregressive distribution estimator. In AISTATS, volume 1, pp. 2, 2011.
    • (2011) AISTATS , vol.1 , pp. 2
    • Larochelle, H.1    Murray, I.2
  • 17
    • 84863380535 scopus 로고    scopus 로고
    • Unsupervised feature learning for audio classification using convolutional deep belief networks
    • Honglak Lee, Peter Pham, Yan Largman, and Andrew Y Ng. Unsupervised feature learning for audio classification using convolutional deep belief networks. In Advances in neural information processing systems, pp. 1096-1104, 2009.
    • (2009) Advances in Neural Information Processing Systems , pp. 1096-1104
    • Lee, H.1    Pham, P.2    Largman, Y.3    Ng, A.Y.4
  • 21
    • 0001033889 scopus 로고
    • Learning complex, extended sequences using the principle of history compression
    • Jürgen Schmidhuber. Learning complex, extended sequences using the principle of history compression. Neural Computation, 4(2):234-242, 1992.
    • (1992) Neural Computation , vol.4 , Issue.2 , pp. 234-242
    • Schmidhuber, J.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.