End-to-end Whispered Speech Recognition with Frequency-weighted Approaches and Layer-wise Transfer Learning. - Heng-Jui Chang; Alexander H. Liu; Hung-yi Lee; Lin-Shan Lee (CoRR, 2020)

Non-Autoregressive Mandarin-English Code-Switching Speech Recognition. - Shun-Po Chuang; Heng-Jui Chang; Sung-Feng Huang; Hung-yi Lee (ASRU, 2021)

Transmission-Line Fault Location Identifications in HV Transmission Networks and different MV Wind Farms using Non-intrusive Monitoring Techniques. - Hsueh-Hsien Chang; Tse-Chih Lai; Heng-Jui Chang; Wei-Jen Lee (IAS, 2021)

Towards Lifelong Learning of End-to-End ASR. - Heng-Jui Chang; Hung-yi Lee; Lin-Shan Lee (Interspeech, 2021)

End-to-End Whispered Speech Recognition with Frequency-Weighted Approaches and Pseudo Whisper Pre-training. - Heng-Jui Chang; Alexander H. Liu; Hung-yi Lee; Lin-Shan Lee (SLT, 2021)

Non-autoregressive Mandarin-English Code-switching Speech Recognition with Pinyin Mask-CTC and Word Embedding Regularization. - Shun-Po Chuang; Heng-Jui Chang; Sung-Feng Huang; Hung-yi Lee (CoRR, 2021)

Mandarin-English Code-switching Speech Recognition with Self-supervised Speech Representation Models. - Liang-Hsuan Tseng; Yu-Kuan Fu; Heng-Jui Chang; Hung-yi Lee (CoRR, 2021)

SUPERB-SG: Enhanced Speech processing Universal PERformance Benchmark for Semantic and Generative Capabilities. - Hsiang-Sheng Tsai; Heng-Jui Chang; Wen-Chin Huang; Zili Huang; Kushal Lakhotia; Shu-Wen Yang; Shuyan Dong; Andy T. Liu; Cheng-I Lai; Jiatong Shi; Xuankai Chang; Phil Hall; et al. (ACL (1), 2022)

Distilhubert: Speech Representation Learning by Layer-Wise Distillation of Hidden-Unit Bert. - Heng-Jui Chang; Shu-Wen Yang; Hung-yi Lee (ICASSP, 2022)

SpeechCLIP: Integrating Speech with Pre-Trained Vision and Language Model. - Yi-Jen Shih; Hsuan-Fu Wang; Heng-Jui Chang; Layne Berry; Hung-yi Lee; David Harwath (SLT, 2022)

M-SpeechCLIP: Leveraging Large-Scale, Pre-Trained Models for Multilingual Speech to Image Retrieval. - Layne Berry; Yi-Jen Shih; Hsuan-Fu Wang; Heng-Jui Chang; Hung-Yi Lee; David Harwath (ICASSP, 2023)

Self-supervised Fine-tuning for Improved Content Representations by Speaker-invariant Clustering. - Heng-Jui Chang; Alexander H. Liu; James R. Glass (INTERSPEECH, 2023)

DinoSR: Self-Distillation and Online Clustering for Self-supervised Speech Representation Learning. - Alexander H. Liu; Heng-Jui Chang; Michael Auli; Wei-Ning Hsu; James R. Glass (NeurIPS, 2023)

COLLD: Contrastive Layer-to-Layer Distillation for Compressing Multilingual Pre-Trained Speech Encoders. - Heng-Jui Chang; Ning Dong; Ruslan Mavlyutov; Sravya Popuri; Yu-An Chung (ICASSP, 2024)

SpeechCLIP+: Self-Supervised Multi-Task Representation Learning for Speech Via Clip and Speech-Image Data. - Hsuan-Fu Wang; Yi-Jen Shih; Heng-Jui Chang; Layne Berry; Puyuan Peng; Hung-Yi Lee; Hsin-Min Wang; David Harwath (ICASSP Workshops, 2024)

R-Spin: Efficient Speaker and Noise-invariant Representation Learning with Acoustic Pieces. - Heng-Jui Chang; James R. Glass (NAACL-HLT, 2024)

DC-Spin: A Speaker-invariant Speech Tokenizer for Spoken Language Models. - Heng-Jui Chang; Hongyu Gong; Changhan Wang; James R. Glass; Yu-An Chung (CoRR, 2024)

A Large-Scale Evaluation of Speech Foundation Models. - Shu-Wen Yang; Heng-Jui Chang; Zili Huang; Andy T. Liu; Cheng-I Lai; Haibin Wu; Jiatong Shi; Xuankai Chang; Hsiang-Sheng Tsai; Wen-Chin Huang; Tzu-hsun Feng; Po-Han Chi; et al. (IEEE ACM Trans. Audio Speech Lang. Process., 2024)

USAD: Universal Speech and Audio Representation via Distillation. - Heng-Jui Chang; Saurabhchand Bhati; James Glass 001; Alexander H. Liu (CoRR, 2025)