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Reduction of Computational Cost Using Two-Stage Deep Neural Network for Training for Denoising and Sound Source Identification

Takayuki Morito, Osamu Sugiyama, Satoshi Uemura, Ryosuke Kojima, Kazuhiro Nakadai. Reduction of Computational Cost Using Two-Stage Deep Neural Network for Training for Denoising and Sound Source Identification. In Hamido Fujita, Moonis Ali, Ali Selamat, Jun Sasaki, Masaki Kurematsu, editors, Trends in Applied Knowledge-Based Systems and Data Science - 29th International Conference on Industrial Engineering and Other Applications of Applied Intelligent Systems, IEA/AIE 2016, Morioka, Japan, August 2-4, 2016, Proceedings. Volume 9799 of Lecture Notes in Computer Science, pages 562-573, Springer, 2016. [doi]

Authors

Takayuki Morito

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Osamu Sugiyama

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Satoshi Uemura

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Ryosuke Kojima

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Kazuhiro Nakadai

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