| 2026 | ACL | On the Fallacy of Global Token Perplexity in Spoken Language Model Evaluation. | Chan-Jan Hsu, Liang-Hsuan Tseng, Yi-Cheng Lin, Yen-Chun Kuo, Ju-Chieh Chou, Kai-Wei Chang, Hung-yi Lee, Carlos Busso |
| 2025 | ASRU | Flow-SLM: Joint Learning of Linguistic and Acoustic Information for Spoken Language Modeling. | Ju-Chieh Chou, Jiawei Zhou, Karen Livescu |
| 2024 | ICASSP | AV2WAV: Diffusion-Based Re-Synthesis from Continuous Self-Supervised Features for Audio-Visual Speech Enhancement. | Ju-Chieh Chou, Chung-Ming Chien, Karen Livescu |
| 2023 | ASRU | Few-Shot Spoken Language Understanding Via Joint Speech-Text Models. | Chung-Ming Chien, Mingjiamei Zhang, Ju-Chieh Chou, Karen Livescu |
| 2023 | EMNLP | Toward Joint Language Modeling for Speech Units and Text. | Ju-Chieh Chou, Chung-Ming Chien, Wei-Ning Hsu, Karen Livescu, Arun Babu, Alexis Conneau, Alexei Baevski, Michael Auli |
| 2021 | ASRU | Layer-Wise Analysis of a Self-Supervised Speech Representation Model. | Ankita Pasad, Ju-Chieh Chou, Karen Livescu |
| 2019 | Interspeech | One-Shot Voice Conversion by Separating Speaker and Content Representations with Instance Normalization. | Ju-Chieh Chou, Hung-yi Lee |
| 2018 | Interspeech | Multi-target Voice Conversion without Parallel Data by Adversarially Learning Disentangled Audio Representations. | Ju-Chieh Chou, Cheng-chieh Yeh, Hung-yi Lee, Lin-Shan Lee |
| 2017 | EMNLP | Leveraging Linguistic Structures for Named Entity Recognition with Bidirectional Recursive Neural Networks. | Peng-Hsuan Li, Ruo-Ping Dong, Yu-Siang Wang, Ju-Chieh Chou, Wei-Yun Ma |