Product
Help
Pricing
About
Jobs
Log in
Get started
Author
Add to collection
Shang-Bao Luo
Institutions:
National Taiwan University of Science and Technology,
Academia Sinica
Observed institutions:
National Taiwan University of Science and Technology,
Academia Sinica
OpenAlex ID:
A5067529162
Speech Recognition by Simply Fine-Tuning Bert
2021
·
Wen-Chin Huang
, Chia-Hua Wu
, et al.
·
IEEE International Conference on Acoustics Speech and Signal Processing
·
33
PDF
An Audio-Enriched BERT-Based Framework for Spoken Multiple-Choice Question Answering
2020
·
Chia-Chih Kuo
, Shang-Bao Luo
, et al.
·
Interspeech (USB)
·
17
PDF
Audio-Aware Spoken Multiple-Choice Question Answering With Pre-Trained Language Models
2021
·
Chia-Chih Kuo
, Kuan-Yu Chen
, et al.
·
IEEE/ACM Transactions on Audio Speech and Language Processing
·
5
Spoken Multiple-Choice Question Answering Using Multimodal Convolutional Neural Networks
2019
·
Shang-Bao Luo
, Hung-Shin Lee
, et al.
·
IEEE Workshop on Automatic Speech Recognition and Understanding (ASRU)
·
5
Spoken Multiple-Choice Question Answering Using Multi-turn Audio-extracter BERT
2020
·
Shang-Bao Luo
, Chia-Chih Kuo
, et al.
·
Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC)
·
3
A Flexible and Extensible Framework for Multiple Answer Modes Question Answering.
2021
·
Cheng-Chung Fan
, Chia-Chih Kuo
, et al.
·
International Conference on Computational Linguistics
基於特徵粒度之訓練策略於中文口語問答系統之應用(A Feature-granularity Training Strategy for Chinese Spoken Question Answering)
2019
·
Shang-Bao Luo
, Kuan‐Yu Chen
·
International Conference on Computational Linguistics
未登錄詞之向量表示法模型於中文機器閱讀理解之應用 (An OOV Word Embedding Framework for Chinese Machine Reading Comprehension)
2018
·
Shang-Bao Luo
, Ching-Hsien Lee
, et al.
未登錄詞之向量表示法模型於中文機器閱讀理解之應用 (An OOV Word Embedding Framework for Chinese Machine Reading Comprehension) [In Chinese]
2018
·
Shang-Bao Luo
, Ching-Hsien Lee
, et al.
·
International Conference on Computational Linguistics
Show more works
View as search
Works count:
9
Citation count:
63
H-index:
4
I10-index:
2
Year
Topic
Type