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2020 – today
- 2023
[c7]Hanbyul Kim, Seunghyun Seo, Lukas Lee, Seolki Baek:
Improved Training for End-to-End Streaming Automatic Speech Recognition Model with Punctuation. INTERSPEECH 2023: 1653-1657- [i3]Hanbyul Kim, Seunghyun Seo, Lukas Lee, Seolki Baek:
Improved Training for End-to-End Streaming Automatic Speech Recognition Model with Punctuation. CoRR abs/2306.01296 (2023) - 2022
- [c6]Jaesong Lee, Lukas Lee, Shinji Watanabe
:
Memory-Efficient Training of RNN-Transducer with Sampled Softmax. INTERSPEECH 2022: 4441-4445 - [c5]Tatsuya Komatsu, Yusuke Fujita, Jaesong Lee, Lukas Lee, Shinji Watanabe, Yusuke Kida:
Better Intermediates Improve CTC Inference. INTERSPEECH 2022: 4965-4969 - [i2]Jaesong Lee, Lukas Lee, Shinji Watanabe:
Memory-Efficient Training of RNN-Transducer with Sampled Softmax. CoRR abs/2203.16868 (2022) - [i1]Tatsuya Komatsu, Yusuke Fujita, Jaesong Lee, Lukas Lee, Shinji Watanabe, Yusuke Kida:
Better Intermediates Improve CTC Inference. CoRR abs/2204.00176 (2022) - 2021
- [c4]Lukas Lee, Youna Ji, Minjae Lee, Min-Seok Choi:
DEMUCS-Mobile : On-Device Lightweight Speech Enhancement. Interspeech 2021: 2711-2715
2010 – 2019
- 2019
- [c3]Lukas Lee, Jinhwan Park, Wonyong Sung:
Simple Gated Convnet for Small Footprint Acoustic Modeling. ASRU 2019: 122-128 - [c2]Wonyong Sung, Lukas Lee, Jinhwan Park:
Exploration of On-device End-to-End Acoustic Modeling with Neural Networks. SiPS 2019: 160-165 - 2018
- [c1]Yoonho Boo, Jinhwan Park, Lukas Lee, Wonyong Sung:
On-Device End-to-end Speech Recognition with Multi-Step Parallel Rnns. SLT 2018: 376-381
Coauthor Index
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