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Expertise related to UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):
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交談語音摘要方法發展基於新穎的類神經網路技術
2020/08/01 → 2023/07/31
Project: Government Ministry › Ministry of Science and Technology
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新穎會議語音辨識方法及其應用之研究
2019/08/01 → 2022/07/31
Project: Government Ministry › Ministry of Science and Technology
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新穎語音摘要方法與應用之研究
2018/08/01 → 2020/07/31
Project: Government Ministry › Ministry of Science and Technology
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An effective contextual language modeling framework for speech summarization with augmented features
Weng, S. Y., Lo, T. H. & Chen, B., 2021 Jan 24, 28th European Signal Processing Conference, EUSIPCO 2020 - Proceedings. European Signal Processing Conference, EUSIPCO, p. 316-320 5 p. 9287432. (European Signal Processing Conference; vol. 2021-January).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
3 Citations (Scopus) -
An Empirical Study on Transformer-Based End-to-End Speech Recognition with Novel Decoder Masking
Weng, S. Y., Chiu, H. S. & Chen, B., 2021, 2021 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA ASC 2021 - Proceedings. Institute of Electrical and Electronics Engineers Inc., p. 518-522 5 p. (2021 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA ASC 2021 - Proceedings).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
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A Preliminary Study on Environmental Sound Classification Leveraging Large-Scale Pretrained Model and Semi-Supervised Learning
Tsao, Y. S., Lo, T. H., Li, J. T., Weng, S. Y. & Chen, B., 2021, ROCLING 2021 - Proceedings of the 33rd Conference on Computational Linguistics and Speech Processing. Lee, L-H., Chang, C-H. & Chen, K-Y. (eds.). The Association for Computational Linguistics and Chinese Language Processing (ACLCLP), p. 103-110 8 p. (ROCLING 2021 - Proceedings of the 33rd Conference on Computational Linguistics and Speech Processing).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
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A Study on Contextualized Language Modeling for Machine Reading Comprehension
Wu, C. Y., Hsu, Y. C. & Chen, B., 2021, ROCLING 2021 - Proceedings of the 33rd Conference on Computational Linguistics and Speech Processing. Lee, L-H., Chang, C-H. & Chen, K-Y. (eds.). The Association for Computational Linguistics and Chinese Language Processing (ACLCLP), p. 48-57 10 p. (ROCLING 2021 - Proceedings of the 33rd Conference on Computational Linguistics and Speech Processing).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
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A Time-reversal Enhancement Network with Cross-domain Information for Noise-robust Speech Recognition
Chao, F. A., Hung, J. W., Sheu, T. & Chen, B., 2021, (Accepted/In press) In: IEEE Multimedia.Research output: Contribution to journal › Article › peer-review