Audio-visual Voice Conversion Using Deep Canonical Correlation Analysis for Deep Bottleneck Features - researchr publication authors

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Satoshi Tamura, Kento Horio, Hajime Endo, Satoru Hayamizu, Tomoki Toda. Audio-visual Voice Conversion Using Deep Canonical Correlation Analysis for Deep Bottleneck Features. In B. Yegnanarayana, editor, Interspeech 2018, 19th Annual Conference of the International Speech Communication Association, Hyderabad, India, 2-6 September 2018. pages 2469-2473, ISCA, 2018. [doi]

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