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SUPERB-SG: Enhanced Speech processing Universal PERformance Benchmark for Semantic and Generative Capabilities.

, , , , , , , , , , , , , , , , and . ACL (1), page 8479-8492. Association for Computational Linguistics, (2022)

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Evaluating Methods for Ground-Truth-Free Foreign Accent Conversion., and . APSIPA ASC, page 1161-1166. IEEE, (2023)On Prosody Modeling for ASR+TTS Based Voice Conversion., , , , and . ASRU, page 642-649. IEEE, (2021)Intermediate Fine-Tuning Using Imperfect Synthetic Speech for Improving Electrolaryngeal Speech Recognition., , , and . ICASSP, page 1-5. IEEE, (2023)MOSNet: Deep Learning-Based Objective Assessment for Voice Conversion., , , , , , and . INTERSPEECH, page 1541-1545. ISCA, (2019)An Empirical Study on Issue Knowledge Transfer from Python to R for Machine Learning Software., , and . SEKE, page 168-173. KSI Research Inc., (2020)The 2020 ESPnet update: new features, broadened applications, performance improvements, and future plans., , , , , , , , , and 5 other author(s). CoRR, (2020)Many-to-Many Voice Transformer Network., , , , , and . IEEE ACM Trans. Audio Speech Lang. Process., (2021)Noisy-to-Noisy Voice Conversion Framework with Denoising Model., , , , and . APSIPA ASC, page 814-820. IEEE, (2021)LDNet: Unified Listener Dependent Modeling in MOS Prediction for Synthetic Speech., , , and . ICASSP, page 896-900. IEEE, (2022)The Singing Voice Conversion Challenge 2023., , , , and . ASRU, page 1-8. IEEE, (2023)