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GlowVC: Mel-spectrogram space disentangling model for language-independent text-free voice conversion.

, , , , , and . INTERSPEECH, page 2973-2977. ISCA, (2022)

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Sign Language Dataset for Automatic Motion Generation., , , , and . J. Imaging, 9 (12): 262 (2023)CopyCat: Many-to-Many Fine-Grained Prosody Transfer for Neural Text-to-Speech., , , , , and . INTERSPEECH, page 4387-4391. ISCA, (2020)Sign Language Motion Generation from Sign Characteristics., , , , and . Sensors, 23 (23): 9365 (December 2023)Enhancing the Stability of LLM-based Speech Generation Systems through Self-Supervised Representations., , , , , , , , and . CoRR, (2024)Design and real-world application of novel machine learning techniques for improving face recognition algorithms.. University of Hertfordshire, Hatfield, UK, (2019)British Library, EThOS.GlowVC: Mel-spectrogram space disentangling model for language-independent text-free voice conversion., , , , , and . INTERSPEECH, page 2973-2977. ISCA, (2022)CopyCat: Many-to-Many Fine-Grained Prosody Transfer for Neural Text-to-Speech., , , , , and . CoRR, (2020)Enhancing audio quality for expressive Neural Text-to-Speech., , , , , , , , , and . CoRR, (2021)Generating photo-realistic training data to improve face recognition accuracy., , and . Neural Networks, (2021)