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Unsupervised Representation Disentanglement Using Cross Domain Features and Adversarial Learning in Variational Autoencoder Based Voice Conversion., , , , , , and . IEEE Trans. Emerg. Top. Comput. Intell., 4 (4): 468-479 (2020)Intermediate Fine-Tuning Using Imperfect Synthetic Speech for Improving Electrolaryngeal Speech Recognition., , , and . CoRR, (2022)The 2020 ESPnet update: new features, broadened applications, performance improvements, and future plans., , , , , , , , , and 5 other author(s). CoRR, (2020)A Preliminary Study of a Two-Stage Paradigm for Preserving Speaker Identity in Dysarthric Voice Conversion., , , , , , and . Interspeech, page 1329-1333. ISCA, (2021)Noisy-to-Noisy Voice Conversion Framework with Denoising Model., , , , and . APSIPA ASC, page 814-820. IEEE, (2021)The Singing Voice Conversion Challenge 2023., , , , and . ASRU, page 1-8. IEEE, (2023)Mandarin Electrolaryngeal Speech Voice Conversion with Sequence-to-Sequence Modeling., , , , , , , , and . ASRU, page 650-657. IEEE, (2021)Many-to-Many Voice Transformer Network., , , , , and . IEEE ACM Trans. Audio Speech Lang. Process., (2021)LDNet: Unified Listener Dependent Modeling in MOS Prediction for Synthetic Speech., , , and . ICASSP, page 896-900. IEEE, (2022)Investigation of F0 Conditioning and Fully Convolutional Networks in Variational Autoencoder Based Voice Conversion., , , , , , , , and . INTERSPEECH, page 709-713. ISCA, (2019)