A Regression Model of Recurrent Deep Neural Networks for Noise Robust Estimation of the Fundamental Frequency Contour of Speech - researchr publication authors

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Akihiro Kato, Tomi Kinnunen. A Regression Model of Recurrent Deep Neural Networks for Noise Robust Estimation of the Fundamental Frequency Contour of Speech. In Anthony Larcher, Jean-François Bonastre, editors, Odyssey 2018: The Speaker and Language Recognition Workshop, 26-29 June 2018, Les Sables d'Olonne, France. pages 275-282, ISCA, 2018. [doi]

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