no code implementations • 6 Nov 2019 • Yi-Chieh Liu, Yung-An Hsieh, Min-Hung Chen, Chao-Han Huck Yang, Jesper Tegner, Yi-Chang James Tsai
Performing driving behaviors based on causal reasoning is essential to ensure driving safety.
no code implementations • 17 May 2021 • Ting-Wei Wu, Yung-An Hsieh, Yi-Chieh Liu
Quality Estimation (QE) of Machine Translation (MT) is a task to estimate the quality scores for given translation outputs from an unknown MT system.
no code implementations • 29 Mar 2022 • Chao-Han Huck Yang, I-Te Danny Hung, Yi-Chieh Liu, Pin-Yu Chen
In this work, we incorporate this binary information of "existence of noise" as treatment into image classification tasks to improve prediction accuracy by jointly estimating their treatment effects.
no code implementations • 15 Jul 2022 • Minho Jin, Chelsea J. -T. Ju, Zeya Chen, Yi-Chieh Liu, Jasha Droppo, Andreas Stolcke
Results show that the pairwise weighting method can achieve 1. 08% overall EER, 1. 25% for male and 0. 67% for female speakers, with relative EER reductions of 7. 7%, 10. 1% and 3. 0%, respectively.
no code implementations • 27 Sep 2023 • Chao-Han Huck Yang, Yile Gu, Yi-Chieh Liu, Shalini Ghosh, Ivan Bulyko, Andreas Stolcke
We explore the ability of large language models (LLMs) to act as speech recognition post-processors that perform rescoring and error correction.
Ranked #3 on Speech Recognition on WSJ eval92 (using extra training data)
no code implementations • 26 Sep 2023 • Yu Yu, Chao-Han Huck Yang, Jari Kolehmainen, Prashanth G. Shivakumar, Yile Gu, Sungho Ryu, Roger Ren, Qi Luo, Aditya Gourav, I-Fan Chen, Yi-Chieh Liu, Tuan Dinh, Ankur Gandhe, Denis Filimonov, Shalini Ghosh, Andreas Stolcke, Ariya Rastow, Ivan Bulyko
We propose a neural language modeling system based on low-rank adaptation (LoRA) for speech recognition output rescoring.
1 code implementation • 11 Feb 2019 • Yi-Chieh Liu, Hao-Hsiang Yang, Chao-Han Huck Yang, Jia-Hong Huang, Meng Tian, Hiromasa Morikawa, Yi-Chang James Tsai, Jesper Tegner
Age-Related Macular Degeneration (AMD) is an asymptomatic retinal disease which may result in loss of vision.
1 code implementation • 9 Feb 2019 • Chao-Han Huck Yang, Yi-Chieh Liu, Pin-Yu Chen, Xiaoli Ma, Yi-Chang James Tsai
To study the intervention effects on pixel-level features for causal reasoning, we introduce pixel-wise masking and adversarial perturbation.
1 code implementation • 16 Aug 2018 • C. -H. Huck Yang, Fangyu Liu, Jia-Hong Huang, Meng Tian, Hiromasa Morikawa, I-Hung Lin, Yi-Chieh Liu, Hao-Hsiang Yang, Jesper Tegner
Automatic clinical diagnosis of retinal diseases has emerged as a promising approach to facilitate discovery in areas with limited access to specialists.
1 code implementation • 1 Nov 2020 • Jia-Hong Huang, Chao-Han Huck Yang, Fangyu Liu, Meng Tian, Yi-Chieh Liu, Ting-Wei Wu, I-Hung Lin, Kang Wang, Hiromasa Morikawa, Hernghua Chang, Jesper Tegner, Marcel Worring
To train and validate the effectiveness of our DNN-based module, we propose a large-scale retinal disease image dataset.