Increasing the robustness of CNN acoustic models using autoregressive moving average spectrogram features and channel dropout - researchr publication

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György Kovács, László Tóth, Dirk Van Compernolle, Sriram Ganapathy. Increasing the robustness of CNN acoustic models using autoregressive moving average spectrogram features and channel dropout. Pattern Recognition Letters, 100:44-50, 2017. [doi]

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