Yu-An Chung

• about
• papers
• thesis
• notes

Publications

• UnitY: Two-pass direct speech-to-speech translation with discrete units
  Hirofumi Inaguma, Sravya Popuri, Ilia Kulikov, Peng-Jen Chen, Changhan Wang, Yu-An Chung, Yun Tang, Ann Lee, Shinji Watanabe, Juan Pino
  ACL, 2023
• Speech-to-speech translation for a real-world unwritten language
  Peng-Jen Chen, Kevin Tran, Yilin Yang, Jingfei Du, Justine Kao, Yu-An Chung, Paden Tomasello, Paul-Ambroise Duquenne, Holger Schwenk, Hongyu Gong, Hirofumi Inaguma, Sravya Popuri, Changhan Wang, Juan Pino, Wei-Ning Hsu, Ann Lee
  ACL Findings, 2023
• Autoregressive predictive coding: A comprehensive study
  Gene-Ping Yang, Sung-Lin Yeh, Yu-An Chung, James Glass, Hao Tang
  IEEE Journal of Selected Topics in Signal Processing, 2022
• SSAST: Self-supervised Audio Spectrogram Transformer
  Yuan Gong, Cheng-I Jeff Lai, Yu-An Chung, James Glass
  AAAI, 2022
• w2v-BERT: Combining contrastive learning and masked language modeling for self-supervised speech pre-training
  Yu-An Chung, Yu Zhang, Wei Han, Chung-Cheng Chiu, James Qin, Ruoming Pang, Yonghui Wu
  ASRU, 2021
• PSLA: Improving audio tagging with pretraining, sampling, labeling, and aggregation
  Yuan Gong, Yu-An Chung, James Glass
  IEEE/ACM Transactions on Audio, Speech, and Language Processing, 2021
• AST: Audio Spectrogram Transformer
  Yuan Gong, Yu-An Chung, James Glass
  Interspeech, 2021
• Non-autoregressive predictive coding for learning speech representations from local dependencies
  Alexander H. Liu, Yu-An Chung, James Glass
  Interspeech, 2021
• SPLAT: Speech-language joint pre-training for spoken language understanding
  Yu-An Chung*, Chenguang Zhu*, Michael Zeng (*: equal contribution)
  NAACL-HLT, 2021
• Similarity analysis of self-supervised speech representations
  Yu-An Chung, Yonatan Belinkov, James Glass
  ICASSP, 2021
  NeurIPS SAS Workshop, 2020
• Cost-sensitive deep learning with layer-wise cost estimation
  Yu-An Chung, Shao-Wen Yang, Hsuan-Tien Lin
  TAAI, 2020
  (best paper award)
• Vector-quantized autoregressive predictive coding
  Yu-An Chung, Hao Tang, James Glass
  Interspeech, 2020
  (best student paper award)
• Improved speech representations with multi-target autoregressive predictive coding
  Yu-An Chung, James Glass
  ACL, 2020
• Generative pre-training for speech with autoregressive predictive coding
  Yu-An Chung, James Glass
  ICASSP, 2020
• An unsupervised autoregressive model for speech representation learning
  Yu-An Chung, Wei-Ning Hsu, Hao Tang, James Glass
  Interspeech, 2019
• Unsupervised clinical language translation
  Wei-Hung Weng, Yu-An Chung, Peter Szolovits
  KDD, 2019
• Semi-supervised training for improving data efficiency in end-to-end speech synthesis
  Yu-An Chung, Yuxuan Wang, Wei-Ning Hsu, Yu Zhang, RJ Skerry-Ryan
  ICASSP, 2019
• Towards unsupervised speech-to-text translation
  Yu-An Chung, Wei-Hung Weng, Schrasing Tong, James Glass
  ICASSP, 2019
• Disentangling correlated speaker and noise for speech synthesis via data augmentation and adversarial factorization
  Wei-Ning Hsu, Yu Zhang, Ron J. Weiss, Yu-An Chung, Yuxuan Wang, Yonghui Wu, James Glass
  ICASSP, 2019
  NeurIPS IRASL Workshop, 2018
• Unsupervised cross-modal alignment of speech and text embedding spaces
  Yu-An Chung, Wei-Hung Weng, Schrasing Tong, James Glass
  NeurIPS, 2018
• Speech2vec: A sequence-to-sequence framework for learning word embeddings from speech
  Yu-An Chung, James Glass
  Interspeech, 2018
  NIPS ML4Audio Workshop, 2017
• Supervised and unsupervised transfer learning for question answering
  Yu-An Chung, Hung-Yi Lee, James Glass
  NAACL-HLT, 2018
• Learning deep representations of medical images using siamese CNNs with application to content-based image retrieval
  Yu-An Chung*, Wei-Hung Weng* (*: equal contribution)
  NIPS ML4H Workshop, 2017
• Audio word2vec: Unsupervised learning of audio segment representations using sequence-to-sequence autoencoder
  Yu-An Chung, Chao-Chung Wu, Chia-Hao Shen, Hung-Yi Lee, Lin-Shan Lee
  Interspeech, 2016
• Cost-aware pre-training for multiclass cost-sensitive deep learning
  Yu-An Chung, Hsuan-Tien Lin, Shao-Wen Yang
  IJCAI, 2016

Preprints

• SLAM: A unified encoder for speech and language modeling via speech-text joint pre-training
  Ankur Bapna*, Yu-An Chung*, Nan Wu, Anmol Gulati, Ye Jia, Jonathan H. Clark, Melvin Johnson, Jason Riesa, Alexis Conneau*, Yu Zhang* (*: equal contribution)
  arXiv:2110.10329
• SummAE: Zero-shot abstractive text summarization using length-agnostic auto-encoders
  Peter J. Liu*, Yu-An Chung*, Jie Ren (*: equal contribution)
  arXiv:1910.00998
• Towards transfer learning for end-to-end speech synthesis from deep pre-trained language models
  Wei Fang, Yu-An Chung, James Glass
  arXiv:1906.07307
• libact: Pool-based active learning in Python
  Yao-Yuan Yang, Shao-Chuan Lee, Yu-An Chung, Tung-En Wu, Si-An Chen, Hsuan-Tien Lin
  arXiv:1710.00379