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與 UN SDG 相關的專業知識
聯合國會員國於 2015 年同意 17 項全球永續發展目標 (SDG)，以終結貧困、保護地球並確保全體的興盛繁榮。此人的作品有助於以下永續發展目標：
指紋
查看啟用 Berlin Chen 的研究主題。這些主題標籤來自此人的作品。共同形成了獨特的指紋。
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國家/地區層面的近期外部共同作業。按一下圓點深入探索詳細資料，或
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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 1月 24, 28th European Signal Processing Conference, EUSIPCO 2020 - Proceedings. European Signal Processing Conference, EUSIPCO, p. 316-320 5 p. 9287432. (European Signal Processing Conference; 卷 2021-January).研究成果: 書貢獻/報告類型 › 會議論文篇章
3 引文 斯高帕斯（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).研究成果: 書貢獻/報告類型 › 會議論文篇章
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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. (編輯). 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).研究成果: 書貢獻/報告類型 › 會議論文篇章
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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. (編輯). 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).研究成果: 書貢獻/報告類型 › 會議論文篇章
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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, (接受/付印) 於: IEEE Multimedia.研究成果: 雜誌貢獻 › 期刊論文 › 同行評審