Fu-An Chao, Tien-Hong Lo, Shi-Yan Weng, Shih-Hsuan Chiu, Yao-Ting Sung, Berlin Chen, “The NTNU Taiwanese ASR System for Formosa Speech Recognition Challenge 2020,” International Journal of Computational Linguistics and Chinese Language Processing. Vol. 26, No. 1, pp. 1-16, June 2021.
Hsiu-Jui Chang, Wei-Cheng Chao, Tien-Hong Lo, Berlin Chen, “An investigation of hybrid CTC-attention modeling in Mandarin speech recognition,” International Journal of Computational Linguistics and Chinese Language Processing, Vol. 24, No. 1, pp. 39-50, June 2019. (In Chinese)
Tien-Hong Lo and Berlin Chen, “Leveraging discriminative training and model combination for semi-supervised speech recognition,” International Journal of Computational Linguistics and Chinese Language Processing, Vol. 23, No. 2, pp. 19-34, December 2018. (in Chinese)
Wei-Cheng Chao, Hsiu-Jui Chang, Tien-Hong Lo, Berlin Chen, “Leveraging discriminative training and improved neural network architecture and optimization method,” International Journal of Computational Linguistics and Chinese Language Processing, Vol. 23, No. 2, pp. 35-46, December 2018. (in Chinese)
Tien-Hong Lo, Ying-Wen Chen, Kuan-Yu Chen, Hsin-Min Wang and Berlin Chen, “On the use of neural network modeling techniques for spoken document retrieval,” International Journal of Computational Linguistics and Chinese Language Processing, Vol. 22, No. 2, pp. 1-16, December 2017. (in Chinese)
International Conference Papers
Lo-Ya Li, Tien-Hong Lo, Jeih-Weih Hung Shih-Chieh Huang, Berlin Chen, “Few-shot open-set keyword spotting with multi-stage training,” Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC 2024), Macao, China, December 3-6, 2024.
Yue-Yang He, Bi-Cheng Yan, Tien-Hong Lo, Meng-Shin Lin, Yung-Chang Hsu, Berlin Chen, “JAM: A unified neural architecture for jJoint multi-granularity pronunciation assessment and phone-level mispronunciation detection and diagnosis towards a comprehensive CAPT system,” Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC 2024), Macao, China, December 3-6, 2024.
Jia-Liang Lu, Bi-Cheng Yan, Yi-Cheng Wang, Tien-Hong Lo, Hsin-Wei Wang, Li-Ting Pai, Berlin Chen, “EADSum: Element-aware distillation for enhancing low-resource abstractive summarization,” Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC 2024), Macao, China, December 3-6, 2024.
Meng-Shin Lin, Bi-Cheng Yan, Tien-Hong Lo, Hsin-Wei Wang, Yue-Yang He, Wei-Cheng Chao, Berlin Chen, “PG-MDD: Prompt-guided mispronunciation detection and diagnosis leveraging articulatory features,” Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC 2024), Macao, China, December 3-6, 2024.
Jiun-Ting Li, Bi-Cheng Yan, Tien-Hong Lo, Yi-Cheng Wang, Yung-Chang Hsu, Berlin Chen, “Automated speaking assessment of conversation tests with a novel graph-based modeling method on spoken response coherence,” IEEE Spoken Language Technology Workshop (SLT 2024), Macao, China, December 2–5, 2024.
Pei-Ying Lee, Hau-Yun Guo, Tien-Hong Lo, Berlin Chen, “Exploring Branchformer-based end-to-end speaker diarization with speaker-wise VAD Loss,” the 27th International Conference of the Oriental COCOSDA (Oriental COCOSDA 2024), October 17-19, Hsinchu, Taiwan.
Szu-Yu Chen, Tien-Hong Lo, Yao-Ting Sung, Ching-Yu Tseng, Berlin Chen, “TEEMI: A speaking practice tool for L2 English learners,” the 25st Annual Conference of the International Speech Communication Association (Interspeech 2024), Kos Island, Greece, September 1-5, 2024. (Show & Tell)
Yu-Sheng Tsao, Yung-Chang Hsu, Jiun-Ting Li, Siang-Hong Weng, Tien-Hong Lo, Berlin Chen, “EZTalking: English assessment platform for teachers and students,” the 25st Annual Conference of the International Speech Communication Association (Interspeech 2024), Kos Island, Greece, September 1-5, 2024. (Show & Tell)
Bi-Cheng Yan, Jiun-Ting Li, Yi-Cheng Wang, Hsin-Wei Wang, Tien-Hong Lo, Yung-Chang Hsu, Wei-Cheng Chao, Berlin Chen, “An effective pronunciation assessment approach leveraging hierarchical Transformers and pre-training strategies,” the 62nd Annual Meeting of the Association for Computational Linguistics (ACL 2024), Bangkok, Thailand, August 11-16, 2024. (Long Paper)
Tien-Hong Lo, Fu-An Chao, Tzu-I Wu, Yao-Ting Sung, Berlin Chen, “An effective automated speaking assessment approach to mitigating data scarcity and imbalanced distribution,” Findings of the Association for Computational Linguistics: NAACL 2024 (NAACL 2024 Findings), Mexico City, Mexico, June 16–21, 2024. (Long Paper)
Fu-An Chao, Tien-Hong Lo, Tzu-I Wu, Yao-Ting Sung, Berlin Chen, “A hierarchical context-aware modeling approach for multi-aspect, multi-granular pronunciation assessment,” the 24st Annual Conference of the International Speech Communication Association (Interspeech 2023), Dublin, Ireland, August 20-24, 2023.
Jiun Ting Li, Tien-Hong Lo, Bi-Cheng Yan, Yung-Chang Hsu, Berlin Chen, “Graph-enhanced transformer architecture with novel use of CEFR vocabulary profile and filled pauses in automated speaking assessment,” the 9th Workshop on Speech and Language Technology in Education (SLaTE 2023; Satellite Workshop of Interspeech 2023), Dublin, Ireland, August 18-19, 2023.
Tzu-I Wu, Tien-Hong Lo, Fu-An Chao, Yao-Ting Sung, Berlin Chen, “Effective neural modeling leveraging readability features for automated essay scoring,” the 9th Workshop on Speech and Language Technology in Education (SLaTE 2023; Satellite Workshop of Interspeech 2023), Dublin, Ireland, August 18-19, 2023.
Fu-An Chao, Tien-Hong Lo, Tzu-I Wu, Yao-Ting Sung, Berlin Chen, “3M: An effective multi-view, multi-granularity, and multi-aspect modeling approach to English pronunciation assessment,” Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC 2022), Chiang Mai, Thailand, November 7-10, 2022.
Shao-Wei Fan Jiang, Bi-Cheng Yan, Tien-Hong Lo, Fu-An Chao, Berlin Chen, “Towards robust mispronunciation detection and diagnosis for L2 English learners with accent-modulating methods,” IEEE workshop on Automatic Speech Recognition and Understanding (ASRU 2021), Cartagena, Colombia, December 13-17, 2021.
Tien-Hong Lo, Yao-Ting Sung, Berlin Chen, “Improving end-to-end modeling for mispronunciation detection with effective augmentation mechanisms,” Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC 2021), Tokyo Japan, December 14-17, 2021.
Shih-Hsuan Chiu, Tien-Hong Lo, Fu-An Chao, Berlin Chen, “Cross-utterance reranking models with BERT and graph convolutional networks for conversational speech recognition,” Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC 2021), Tokyo Japan, December 14-17, 2021.
Shih-Hsuan Chiu, Tien-Hong Lo and Berlin Chen, “Cross-sentence neural language models for conversational speech recognition,” The Annual International Joint Conference on Neural Networks (IJCNN 2021), Online, July 18-22, 2021.
Shi-Yan Weng, Tien-Hong Lo, Berlin Chen, “An effective contextual language modeling framework for speech summarization with augmented features,” the 28th European Signal Processing Conference (EUSIPCO 2020), Online, January 18-22, 2021.
Tien-Hong Lo, Fu-An Chao, Shi-Yan Weng, Berlin Chen, “The NTNU System at the Interspeech 2020 Non-Native Children’s Speech ASR Challenge,” the 21st Annual Conference of the International Speech Communication Association (Interspeech 2020), Online, October 25-29, 2020.
Tien-Hong Lo, Shi-Yan Weng, Hsiu-Jui Chang, Berlin Chen, “An effective end-to-end modeling approach for mispronunciation detection,” the 21st Annual Conference of the International Speech Communication Association (Interspeech 2020), Online, October 25-29, 2020.
Shao-Wei Fan-Jiang, Tien-Hong Lo, Berlin Chen, “Spoken document retrieval leveraging BERT-based modeling and query reformulation,” the 45th IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2020), Online, May 4-8, 2020.
Hsiao-Yun Lin, Tien-Hong Lo, Berlin Chen, “Enhanced BERT-based ranking models for spoken document retrieval,” IEEE workshop on Automatic Speech Recognition and Understanding (ASRU 2019), Sentosa, Singapore, 14-18 December, 2019.
Tien-Hong Lo, Berlin Chen, “Semi-supervised training of acoustic models leveraging knowledge transferred from out-of-domain data,” 2019 APSIPA Annual Summit and Conference (APSIPA ASC 2019), Lanzhou, China, November 18-21, 2019. (Oral)
Tien-Hong Lo, Ying-Wen Chen, Kuan-Yu Chen, Hsin-Min Wang, Berlin Chen, “Neural relevance-aware query modeling for spoken document retrieval,” IEEE workshop on Automatic Speech Recognition and Understanding (ASRU 2017), Okinawa, Japan, December 16-20, 2017.
Local Conference Papers
Meng-Shin Lin, Hsin-Wei Wang, Tien-Hong Lo, Berlin Chen, Wei-Cheng Chao, “Addressing the issue of data imbalance in multi-granularity pronunciation assessment,” the 34th International Conference on Computational Linguistics and Speech Processing (ROCLING 2023), Taipei, Taiwan, October 20-21, 2023. (in Chinese)
Yi-Ping Huang, Tien-Hong Lo, Berlin Chen, Leveraging dialogue discourse parsing in a two-stage framework for meeting summarization,” the 34th International Conference on Computational Linguistics and Speech Processing (ROCLING 2023), Taipei, Taiwan, October 20-21, 2023. (in Chinese)
Tzu-I Wu, Tien-Hong Lo, Fu-An Chao, Yao-Ting Sung, Berlin Chen, “A preliminary study on automated speaking assessment of English as second language (ESL) students,” the 34th International Conference on Computational Linguistics and Speech Processing (ROCLING 2022), Taipei, Taiwan, November 21-22, 2022. (in Chinese)
Tien-Hong Lo, Yao-Ting Sung, Berlin Chen, “Exploring Heterogeneous Graph Neural Network and Centrality Information for Spoken Document Summarizations,” the 26th International Conference on Technologies and Applications of Artificial Intelligence (TAAI 2021), Taichung, November 18-20, 2021. (in Chinese)
You-Sheng Tsao, Tien-Hong Lo, Jiun-Ting Li, Shi-Yan Weng, Berlin Chen, “A Preliminary Study on Environmental Sound Classification Leveraging Large-Scale Pretrained Model and Semi-Supervised Learning,” the 33rd International Conference on Computational Linguistics and Speech Processing (ROCLING 2021), Taoyuan, Taiwan, October 15-16, 2021. (in Chinese)
Yu-Sen Cheng, Tien-Hong Lo, Berlin Chen, “Exploiting text prompts for the development of an end-to-end computer-assisted pronunciation training system,” the 32nd International Conference on Computational Linguistics and Speech Processing (ROCLING 2020), Taipei, Taiwan, September 24-26, 2020. (in Chinese)
Hsiu-Jui Chang, Tien-Hong Lo, Tzu-En Liu, Berlin Chen, “Investigating computer-assisted pronunciation training leveraging end-to-end speech recognition techniques,” the 31st International Conference on Computational Linguistics and Speech Processing (ROCLING 2019), New Taipei City, Taiwan, October 3-5, 2019. (in Chinese)
Ming-Jhang Yang, Fu-An Chao, Tien-Hong Lo, Berlin Chen, “Exploiting generative adversarial network for robustness automatic speech recognition,” the 31st International Conference on Computational Linguistics and Speech Processing (ROCLING 2019), New Taipei City, Taiwan, October 3-5, 2019. (in Chinese)
Tien-Hong Lo, Berlin Chen, “Investigating acoustic model combination and semi-supervised discriminative training for meeting speech recognition,” the 30th International Conference on Computational Linguistics and Speech Processing (ROCLING 2018), Hsinchu, Taiwan, October 4-5, 2018. (in Chinese)
Wei-Cheng Chao, Hsiu-Jui Chang, Tien-Hong Lo, Berlin Chen, “Discriminative training of acoustic models leveraging improved neural network architecture and optimization method,” the 30th International Conference on Computational Linguistics and Speech Processing (ROCLING 2018), Hsinchu, Taiwan, October 4-5, 2018. (in Chinese)
Ying-Wen Chen, Tien-Hong Lo, Hsiu-jui Chang, Wei-Cheng Chao, Berlin Chen, “On the use of speaker-aware language model adaptation techniques for meeting speech recognition,” the 30th International Conference on Computational Linguistics and Speech Processing (ROCLING 2018), Hsinchu, Taiwan, October 4-5, 2018. (in Chinese)
Tien-Hong Lo, Ying-Wen Chen, Berlin Chen, Kuan-Yu Chen, Hsin-Min Wang, “Exploring query intent and neural network modeling techniques for spoken document retrieval,” the 29th International Conference on Computational Linguistics and Speech Processing (ROCLING 2017), Taipei, Taiwan, November 27-28, 2017. (in Chinese) (Best Paper Award)