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洪千焙

姓名:洪千焙
職稱:助理教授
學歷:國立成功大學多媒體系統與智慧型運算工程博士學位學程博士
信箱:qianbeihong@stust.edu.tw
辦公室分機:3332
辦公室:B202-1
專長:人工智慧、語音訊號處理、語音識別、語者識別、語音合成

期刊論文 Journal articles

1.   Qian-Bei Hong, Chung-Hsien Wu, and Hsin-Min Wang, “Decomposition and Reorganization of Phonetic Information for Speaker Embedding Learning,” IEEE/ACM Transactions on Audio, Speech and Language Processing, vol. 31, pp. 1745–1757, 2023.

2.   Qian-Bei Hong, Chung-Hsien Wu, and Hsin-Min Wang, “Generalization Ability Improvement of Speaker Representation and Anti-Interference for Speaker Verification,” IEEE/ACM Transactions on Audio, Speech and Language Processing, vol. 31, pp. 486–499, 2023.

3.   Qian-Bei Hong, Chung-Hsien Wu, and Hsin-Min Wang, “Speaker-Specific Articulatory Feature Extraction Based on Knowledge Distillation for Speaker Recognition,” APSIPA Transactions on Signal and Information Processing, vol. 12, no. 2, e10 (pp. 1–26), 2023.

4.   Qian-Bei Hong, Chung-Hsien Wu, Ming-Hsiang Su, and Chia-Cheng Chang, “Exploring Macroscopic and Microscopic Fluctuations of Elicited Facial Expressions for Mood Disorder Classification,”IEEE Transactions on Affective Computing, vol. 12, no. 4, pp. 989–1001, 2019.

研討會論文 Conference papers
1.   Qian-Bei Hong, Chung-Hsien Wu, Thanh Binh Nguyen, and Hsin-Min Wang, “Improvement of Spatial Ambiguity in Multi-Channel Speech Separation Using Channel Attention,” Asia-Pacific Signal and Information Processing Association (APSIPA), Tokyo, Japan, 2021.

2.   Qian-Bei Hong, Chung-Hsien Wu, Hsin-Min Wang, and Chien-Lin Huang, “Statistics Pooling Time Delay Neural Network Based on X-Vector for Speaker Verification,” International Conference on Acoustics, Speech, and Signal Processing (ICASSP), Barcelona, Spain, 2020.

3.   Qian-Bei Hong, Chung-Hsien Wu, Hsin-Min Wang, and Chien-Lin Huang, “Combining Deep Embeddings of Acoustic and Articulatory Features for Speaker Identification,” International Conference on Acoustics, Speech, and Signal Processing (ICASSP), Barcelona, Spain, 2020.

4.   Qian-Bei Hong, Chung-Hsien Wu, Ming-Hsiang Su, and Hsin-Min Wang, “Sequential Speaker Embedding and Transfer Learning for Text-Independent Speaker Identification,” Asia-Pacific Signal and Information Processing Association (APSIPA), Lanzhou, China, 2019.

5.   Kun-Yi Huang, Chung-Hsien Wu, Qian-Bei Hong, Ming-Hsiang Su, and Yi-Hsuan Chen, “Speech Emotion Recognition Using Deep Neural Network Considering Verbal and Nonverbal Speech sounds,” in Proceedings of ICASSP2019, Brighton, UK, May 12–17, 2019.

6.   Kun-Yi Huang, Chung-Hsien Wu, Qian-Bei Hong, Ming-Hsiang Su, and Yuan-Rong Zeng, “Speech Emotion Recognition using Convolutional Neural Network with Audio Word-based Embedding,” in Proceedings of ISCSLP2018, Taipei, Taiwan, November 26-29, 2018.

7.   Ming-Hsiang Su, Chung-Hsien Wu, Kun-Yi Huang, Qian-Bei Hong, and Huai-Hung Huang, “Follow-up Question Generation using Pattern-based Seq2seq with a Small Corpus for Interview Coaching,” in Proceedings of Interspeech2018, Hyderabad, India, September 2-6, 2018.

8.   Ming-Hsiang Su, Chung-Hsien Wu, Kun-Yi Huang, Qian-Bei Hong, “LSTM-based Text Emotion Recognition Using Semantic and Emotional Word Vectors,” in Proceedings of 2018 First Asian Conference on Affective Computing and Intelligent Interaction (ACII Asia), Beijing, China, May 20~22, 2018.

9.   Qian-Bei Hong, Chung-Hsien Wu, Ming-Hsiang Su, Kun-Yi Huang, “Exploring Macroscopic Fluctuation of Facial Expression for Mood Disorder Classification,” in Proceedings of 2018 First Asian Conference on Affective Computing and Intelligent Interaction (ACII Asia), Beijing, China, May 20~22, 2018.

10.  Ming-Hsiang Su, Chung-Hsien Wu, Kun-Yi Huang, Qian-Bei Hong and Hsin-Min Wang, “Personality Trait Perception from Speech Signals Using Multiresolution Analysis and Convolutional Neural Networks,” in Proceedings of APSIPA Annual Summit and Conference, Kuala Lumpure, Malaysia, December 12~15, 2017.

11.  Ming-Hsiang Su, Chung-Hsien Wu, Kun-Yi Huang, Qian-Bei Hong and Hsin-Min Wang, “A Chatbot Using LSTM-based Multi-Layer Embedding for Elderly Care,” in Proceedings of International Conference on Orange Technology, Singapore, December 8~10, 2017.

12.  Ming-Hsiang Su, Chung-Hsien Wu, Kun-Yi Huang, Qian-Bei Hong and Hsin-Min Wang, “Exploring Microscopic Fluctuation of Facial Expression for Mood Disorder Classification,” in Proceedings of International Conference on Orange Technology, Singapore, December 8~10, 2017.

得獎紀錄 Honors

1.中華民國計算語言學學會第二十三屆博士論文佳作獎
2.中華民國斐陶斐榮譽學會國立成功大學分會112年榮譽會員