On-Device End-to-end Speech Recognition with Multi-Step Parallel Rnns. - Yoonho Boo; Jinhwan Park; Lukas Lee; Wonyong Sung (SLT, 2018)

Simple Gated Convnet for Small Footprint Acoustic Modeling. - Lukas Lee; Jinhwan Park; Wonyong Sung (ASRU, 2019)

Exploration of On-device End-to-End Acoustic Modeling with Neural Networks. - Wonyong Sung; Lukas Lee; Jinhwan Park (SiPS, 2019)

DEMUCS-Mobile : On-Device Lightweight Speech Enhancement. - Lukas Lee; Youna Ji; Minjae Lee; Min-Seok Choi (Interspeech, 2021)

Better Intermediates Improve CTC Inference. - Tatsuya Komatsu; Yusuke Fujita; Jaesong Lee; Lukas Lee; Shinji Watanabe 001; Yusuke Kida (INTERSPEECH, 2022)

Memory-Efficient Training of RNN-Transducer with Sampled Softmax. - Jaesong Lee; Lukas Lee; Shinji Watanabe 001 (INTERSPEECH, 2022)

Improved Training for End-to-End Streaming Automatic Speech Recognition Model with Punctuation. - Hanbyul Kim; Seunghyun Seo; Lukas Lee; Seolki Baek (INTERSPEECH, 2023)