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Improving Severity Preservation of Healthy-to-Pathological Voice Conversion With Global Style Tokens., , , , and . ASRU, page 1-7. IEEE, (2023)Investigating Self-supervised Pretraining Frameworks for Pathological Speech Recognition., , and . INTERSPEECH, page 41-45. ISCA, (2022)Intermediate Fine-Tuning Using Imperfect Synthetic Speech for Improving Electrolaryngeal Speech Recognition., , , and . ICASSP, page 1-5. IEEE, (2023)Two-Stage Training Method for Japanese Electrolaryngeal Speech Enhancement Based on Sequence-to-Sequence Voice Conversion., , , and . SLT, page 949-954. IEEE, (2022)Towards Identity Preserving Normal to Dysarthric Voice Conversion., , , , and . ICASSP, page 6672-6676. IEEE, (2022)A Comparative Study of Voice Conversion Models With Large-Scale Speech and Singing Data: The T13 Systems for the Singing Voice Conversion Challenge 2023., , , , and . ASRU, page 1-6. IEEE, (2023)Pretraining and Adaptation Techniques for Electrolaryngeal Speech Recognition., , , and . IEEE ACM Trans. Audio Speech Lang. Process., (2024)An Analysis of Personalized Speech Recognition System Development for the Deaf and Hard-of-Hearing., and . APSIPA ASC, page 1862-1867. IEEE, (2023)The Singing Voice Conversion Challenge 2023., , , , and . ASRU, page 1-8. IEEE, (2023)Quantifying the effect of speech pathology on automatic and human speaker verification., , , , , , , , , and . CoRR, (2024)