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Speech Recognition by Simply Fine-Tuning Bert.

, , , , , и . ICASSP, стр. 7343-7347. IEEE, (2021)

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Fong-Chin Huang

Chin-Rong Huang

Yen-Chin Huang

Wen-ling Huang

Wen-chih Huang

 

Другие публикации лиц с тем же именем

Evaluating Methods for Ground-Truth-Free Foreign Accent Conversion., и . APSIPA ASC, стр. 1161-1166. IEEE, (2023)On Prosody Modeling for ASR+TTS Based Voice Conversion., , , , и . ASRU, стр. 642-649. IEEE, (2021)Intermediate Fine-Tuning Using Imperfect Synthetic Speech for Improving Electrolaryngeal Speech Recognition., , , и . ICASSP, стр. 1-5. IEEE, (2023)An Empirical Study on Issue Knowledge Transfer from Python to R for Machine Learning Software., , и . SEKE, стр. 168-173. KSI Research Inc., (2020)MOSNet: Deep Learning-Based Objective Assessment for Voice Conversion., , , , , , и . INTERSPEECH, стр. 1541-1545. ISCA, (2019)The NU Voice Conversion System for the Voice Conversion Challenge 2020: On the Effectiveness of Sequence-to-sequence Models and Autoregressive Neural Vocoders., , , , и . Blizzard Challenge / Voice Conversion Challenge, ISCA, (2020)Predictions of Subjective Ratings and Spoofing Assessments of Voice Conversion Challenge 2020 Submissions., , , , , , , и . Blizzard Challenge / Voice Conversion Challenge, ISCA, (2020)Noisy-to-Noisy Voice Conversion Framework with Denoising Model., , , , и . APSIPA ASC, стр. 814-820. IEEE, (2021)LDNet: Unified Listener Dependent Modeling in MOS Prediction for Synthetic Speech., , , и . ICASSP, стр. 896-900. IEEE, (2022)Mandarin Electrolaryngeal Speech Voice Conversion with Sequence-to-Sequence Modeling., , , , , , , , и . ASRU, стр. 650-657. IEEE, (2021)