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Nhat Minh Le
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2020 – today
- 2024
- [j2]Bao Thang Ta, Nhat Minh Le, Van Hai Do:
Transfer learning methods for low-resource speech accent recognition: A case study on Vietnamese language. Eng. Appl. Artif. Intell. 132: 107895 (2024) - [c8]Nhat Minh Le, An Vo, Ngoc Hoang Luong:
Zero-Cost Proxy-Based Hierarchical Initialization for Evolutionary Neural Architecture Search. CEC 2024: 1-8 - [c7]Bao Thang Ta, Minh Khang Pham, Nhat Minh Le, Van Hai Do:
Human Behavior Modeling in Speech Transcribing Process via Pretrained Speech Recognition Models. IJCNN 2024: 1-6 - 2023
- [j1]Nhat Minh Le, Murat Yildirim, Yizhi Wang, Hiroki Sugihara, Mehrdad Jazayeri, Mriganka Sur:
Mixtures of strategies underlie rodent behavior during reversal learning. PLoS Comput. Biol. 19(9) (2023) - [c6]Ngoc-Anh Nguyen Thi, Bao Thang Ta, Nhat Minh Le, Van Hai Do:
An Automatic Pipeline For Building Emotional Speech Dataset. APSIPA ASC 2023: 1030-1035 - [c5]Minh Tu Le, Bao Thang Ta, Nhat Minh Le, Phi Le Nguyen, Van Hai Do:
A Gaussian Distribution Labeling Method for Speech Quality Assessment. CSoNet 2023: 27-38 - [c4]Bao Thang Ta, Minh Tu Le, Nhat Minh Le, Van Hai Do:
Probing Speech Quality Information in ASR Systems. INTERSPEECH 2023: 541-545 - [c3]Dinh Son Dang, Tung Lam Nguyen, Bao Thang Ta, Tien Thanh Nguyen, Thi Ngoc Anh Nguyen, Dang Linh Le, Nhat Minh Le, Van Hai Do:
LightVoc: An Upsampling-Free GAN Vocoder Based On Conformer And Inverse Short-time Fourier Transform. INTERSPEECH 2023: 3043-3047 - 2022
- [c2]Bao Thang Ta, Xuan Vuong Dang, Quang Tien Duong, Nhat Minh Le, Van Hai Do:
Improving Vietnamese Accent Recognition Using ASR Transfer Learning. O-COCOSDA 2022 2022: 1-6 - [c1]Quang Tien Duong, Duc Huy Nguyen, Bao Thang Ta, Nhat Minh Le, Van Hai Do:
Improving Self-supervised Audio Representation based on Contrastive Learning with Conformer Encoder. SoICT 2022: 270-275
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last updated on 2024-09-21 02:37 CEST by the dblp team
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