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Parallel-Data-Free Many-to-Many Voice Conversion Based on DNN Integrated with Eigenspace Using a Non-Parallel Speech Corpus.

, , , и . INTERSPEECH, стр. 1278-1282. ISCA, (2017)

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Haruhisa Uchida

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Improved Knowledge Distillation for Training Fast Low Resolution Face Recognition Model., , , , , и . ICCV Workshops, стр. 2655-2661. IEEE, (2019)Statistical acoustic-to-articulatory mapping unified with speaker normalization based on voice conversion., , , и . INTERSPEECH, стр. 588-592. ISCA, (2015)Sample-Level and Class-Level Adaptive Training for Face Recognition., , , , , и . ICME, стр. 1-6. IEEE, (2022)Learning by Environment Cluster s for Face Presentation Attack Detection., , , и . BIOSIG, том P-315 из LNI, стр. 205-212. Gesellschaft für Informatik e.V., (2021)DeDiM: De-identification using a diffusion model., , и . BIOSIG, том P-329 из LNI, стр. 72-79. IEEE / Gesellschaft für Informatik e.V., (2022)Parallel-Data-Free Many-to-Many Voice Conversion Based on DNN Integrated with Eigenspace Using a Non-Parallel Speech Corpus., , , и . INTERSPEECH, стр. 1278-1282. ISCA, (2017)A pairwise learning strategy for video-based face recognition., , , , , и . CVPR Workshops, Computer Vision Foundation / IEEE, (2019)Acoustic-to-Articulatory Mapping Based on Mixture of Probabilistic Canonical Correlation Analysis., , и . INTERSPEECH, стр. 989-993. ISCA, (2017)Privacy-Preserving Image Transformation Method for Person Detection and Re-ID., , и . APSIPA ASC, стр. 1798-1803. IEEE, (2023)Voice Conversion Based on Matrix Variate Gaussian Mixture Model Using Multiple Frame Features., , , и . INTERSPEECH, стр. 302-306. ISCA, (2016)