( en | de | ru )

 

Disambiguation of "Wu, Ming-Hui"

Author of the publication

copydeleteadd this publication to your clipboard
A Complementary Joint Training Approach Using Unpaired Speech and Text for Low-Resource Automatic Speech Recognition.

, , , , , , and . CoRR, (2022)

Please choose a person to relate this publication to

To differ between persons with the same name, the academic degree and the title of an important publication will be displayed. You can also use the button next to the name to display some publications already assigned to the person.

Hui Wu

Ming-hui Zou

Hui-Yin Wu

Qi-Hui Wu

Ming-Chuan Wu

 

Other publications of authors with the same name

Monotonic Gaussian regularization of attention for robust automatic speech recognition., , , and . Comput. Speech Lang., (2023)An Improved Wav2Vec 2.0 Pre-Training Approach Using Enhanced Local Dependency Modeling for Speech Recognition., , , , and . Interspeech, page 4334-4338. ISCA, (2021)A Complementary Joint Training Approach Using Unpaired Speech and Text A Complementary Joint Training Approach Using Unpaired Speech and Text., , , , , , and . INTERSPEECH, page 2613-2617. ISCA, (2022)A Complementary Joint Training Approach Using Unpaired Speech and Text for Low-Resource Automatic Speech Recognition., , , , , , and . CoRR, (2022)Cross-Lingual Self-training to Learn Multilingual Representation for Low-Resource Speech Recognition., , , , , and . Circuits Syst. Signal Process., 41 (12): 6827-6843 (2022)Learning Contextually Fused Audio-Visual Representations For Audio-Visual Speech Recognition., , , , , and . ICIP, page 1346-1350. IEEE, (2022)A Noise-Robust Self-Supervised Pre-Training Model Based Speech Representation Learning for Automatic Speech Recognition., , , , , and . ICASSP, page 3174-3178. IEEE, (2022)XLST: Cross-lingual Self-training to Learn Multilingual Representation for Low Resource Speech Recognition., , , , and . CoRR, (2021)A Semi-Supervised Complementary Joint Training Approach for Low-Resource Speech Recognition., , , , and . IEEE ACM Trans. Audio Speech Lang. Process., (2023)An Experimental Comparison between Low-Resource Semi-Supervised and High-Resource Supervised Automatic Speech Recognition Models., , , , and . ICME, page 1-6. IEEE, (2022)