Ming-Hui Wu
Orcid: 0009-0002-0179-1441
According to our database1,
Ming-Hui Wu
authored at least 12 papers
between 2021 and 2024.
Collaborative distances:
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Bibliography
2024
SLPA-Net: A Real-Time Recognition Network for Intelligent Stomata Localization and Phenotypic Analysis.
IEEE ACM Trans. Comput. Biol. Bioinform., 2024
Proceedings of the 8th International Conference on Robotics, Control and Automation, 2024
2023
A Semi-Supervised Complementary Joint Training Approach for Low-Resource Speech Recognition.
IEEE ACM Trans. Audio Speech Lang. Process., 2023
Monotonic Gaussian regularization of attention for robust automatic speech recognition.
Comput. Speech Lang., 2023
2022
Cross-Lingual Self-training to Learn Multilingual Representation for Low-Resource Speech Recognition.
Circuits Syst. Signal Process., 2022
A Complementary Joint Training Approach Using Unpaired Speech and Text for Low-Resource Automatic Speech Recognition.
CoRR, 2022
A Complementary Joint Training Approach Using Unpaired Speech and Text A Complementary Joint Training Approach Using Unpaired Speech and Text.
Proceedings of the 23rd Annual Conference of the International Speech Communication Association, 2022
An Experimental Comparison between Low-Resource Semi-Supervised and High-Resource Supervised Automatic Speech Recognition Models.
Proceedings of the IEEE International Conference on Multimedia and Expo, 2022
Learning Contextually Fused Audio-Visual Representations For Audio-Visual Speech Recognition.
Proceedings of the 2022 IEEE International Conference on Image Processing, 2022
A Noise-Robust Self-Supervised Pre-Training Model Based Speech Representation Learning for Automatic Speech Recognition.
Proceedings of the IEEE International Conference on Acoustics, 2022
2021
XLST: Cross-lingual Self-training to Learn Multilingual Representation for Low Resource Speech Recognition.
CoRR, 2021
An Improved Wav2Vec 2.0 Pre-Training Approach Using Enhanced Local Dependency Modeling for Speech Recognition.
Proceedings of the 22nd Annual Conference of the International Speech Communication Association, Interspeech 2021, Brno, Czechia, August 30, 2021