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ORCIDAlexander H. Liu
Alexander Haojan Liu – 劉浩然
Person information
- unicode name: 劉浩然
- affiliation: Massachusetts Institute of Technology (MIT), Computer Science and Artificial Intelligence Laboratory, Cambridge, MA, USA
- affiliation (former): National Taiwan University, Taipei, Taiwan
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2020 – today
- 2025
[c29]Shester Gueuwou, Xiaodan Du, Greg Shakhnarovich, Karen Livescu, Alexander H. Liu:
SHuBERT: Self-Supervised Sign Language Representation Learning via Multi-Stream Cluster Prediction. ACL (1) 2025: 28792-28810- [c28]Pin-Jui Ku, Alexander H. Liu, Roman Korostik, Sung-Feng Huang, Szu-Wei Fu, Ante Jukic:
Generative Speech Foundation Model Pretraining for High-Quality Speech Extraction and Restoration. ICASSP 2025: 1-5 - [c27]Alexander H. Liu, Sang-gil Lee, Chao-Han Huck Yang, Yuan Gong, Yu-Chiang Frank Wang, James R. Glass, Rafael Valle, Bryan Catanzaro:
UniWav: Towards Unified Pre-training for Speech Representation Learning and Generation. ICLR 2025 - [c26]Rafael Valle, Rohan Badlani, Zhifeng Kong, Sang-gil Lee, Arushi Goel, Sungwon Kim, João Felipe Santos, Shuqi Dai, Siddharth Gururani, Aya Aljafari, Alexander H. Liu, Kevin J. Shih, Ryan Prenger, Wei Ping, Chao-Han Huck Yang, Bryan Catanzaro:
Fugatto 1: Foundational Generative Audio Transformer Opus 1. ICLR 2025 - [i36]Alexander H. Liu, Sang-gil Lee, Chao-Han Huck Yang, Yuan Gong, Yu-Chiang Frank Wang, James R. Glass, Rafael Valle, Bryan Catanzaro:
UniWav: Towards Unified Pre-training for Speech Representation Learning and Generation. CoRR abs/2503.00733 (2025) - [i35]Guan-Ting Lin, Jiachen Lian, Tingle Li, Qirui Wang, Gopala Anumanchipalli, Alexander H. Liu, Hung-yi Lee:
Full-Duplex-Bench: A Benchmark to Evaluate Full-duplex Spoken Dialogue Models on Turn-taking Capabilities. CoRR abs/2503.04721 (2025) - [i34]Abhinav Rastogi, Albert Q. Jiang, Andy Lo, Gabrielle Berrada, Guillaume Lample, Jason Rute, Joep Barmentlo, Karmesh Yadav, Kartik Khandelwal, Khyathi Raghavi Chandu, Léonard Blier, Lucile Saulnier, Matthieu Dinot, Maxime Darrin, Neha Gupta, Roman Soletskyi, Sagar Vaze, Teven Le Scao, Yihan Wang, Adam Yang, Alexander H. Liu, Alexandre Sablayrolles, Amélie Héliou, Amélie Martin, Andy Ehrenberg, Anmol Agarwal, Antoine Roux, Arthur Darcet, Arthur Mensch, Baptiste Bout, Baptiste Rozière, Baudouin De Monicault, Chris Bamford, Christian Wallenwein, Christophe Renaudin, Clémence Lanfranchi, Darius Dabert, Devon Mizelle, Diego de Las Casas, Elliot Chane-Sane, Emilien Fugier, Emma Bou Hanna, Gauthier Delerce, Gauthier Guinet, Georgii Novikov, Guillaume Martin, Himanshu Jaju, Jan Ludziejewski, Jean-Hadrien Chabran, Jean-Malo Delignon, Joachim Studnia, Jonas Amar, Josselin Somerville Roberts, Julien Denize, Karan Saxena, Kush Jain, Lingxiao Zhao, Louis Martin, Luyu Gao, Lélio Renard Lavaud, Marie Pellat, Mathilde Guillaumin, Mathis Felardos, Maximilian Augustin, Mickaël Seznec, Nikhil Raghuraman, Olivier Duchenne, Patricia Wang, Patrick von Platen, Patryk Saffer, Paul Jacob, Paul Wambergue, Paula Kurylowicz, Pavankumar Reddy Muddireddy, Philomène Chagniot, Pierre Stock, Pravesh Agrawal, Romain Sauvestre, Rémi Delacourt, Sanchit Gandhi, Sandeep Subramanian, Shashwat Dalal, Siddharth Gandhi, Soham Ghosh, Srijan Mishra, Sumukh Aithal, Szymon Antoniak, Thibault Schueller, Thibaut Lavril, Thomas Robert, Thomas Wang, Timothée Lacroix, Valeriia Nemychnikova, Victor Paltz, Virgile Richard, Wen-Ding Li, William Marshall, Xuanyu Zhang, Yunhao Tang:
Magistral. CoRR abs/2506.10910 (2025) - [i33]Heng-Jui Chang, Saurabhchand Bhati, James Glass, Alexander H. Liu:
USAD: Universal Speech and Audio Representation via Distillation. CoRR abs/2506.18843 (2025) - [i32]Alexander H. Liu, Andy Ehrenberg, Andy Lo, Clément Denoix, Corentin Barreau, Guillaume Lample, Jean-Malo Delignon, Khyathi Raghavi Chandu, Patrick von Platen, Pavankumar Reddy Muddireddy, Sanchit Gandhi, Soham Ghosh, Srijan Mishra, Thomas Foubert, Abhinav Rastogi, Adam Yang, Albert Q. Jiang, Alexandre Sablayrolles, Amélie Héliou, Amélie Martin, Anmol Agarwal, Antoine Roux, Arthur Darcet, Arthur Mensch, Baptiste Bout, Baptiste Rozière, Baudouin De Monicault, Chris Bamford, Christian Wallenwein, Christophe Renaudin, Clémence Lanfranchi, Darius Dabert, Devendra Singh Chaplot, Devon Mizelle, Diego de Las Casas, Elliot Chane-Sane, Emilien Fugier, Emma Bou Hanna, Gabrielle Berrada, Gauthier Delerce, Gauthier Guinet, Georgii Novikov, Guillaume Martin, Himanshu Jaju, Jan Ludziejewski, Jason Rute, Jean-Hadrien Chabran, Jessica Chudnovsky, Joachim Studnia, Joep Barmentlo, Jonas Amar, Josselin Somerville Roberts, Julien Denize, Karan Saxena, Karmesh Yadav, Kartik Khandelwal, Kush Jain, Lélio Renard Lavaud, Léonard Blier, Lingxiao Zhao, Louis Martin, Lucile Saulnier, Luyu Gao, Marie Pellat, Mathilde Guillaumin, Mathis Felardos, Matthieu Dinot, Maxime Darrin, Maximilian Augustin, Mickaël Seznec, Neha Gupta, Nikhil Raghuraman, Olivier Duchenne, Patricia Wang, Patryk Saffer, Paul Jacob, Paul Wambergue, Paula Kurylowicz, Philomène Chagniot, Pierre Stock, Pravesh Agrawal, Rémi Delacourt, Romain Sauvestre, Roman Soletskyi, Sagar Vaze, Sandeep Subramanian, Saurabh Garg, Shashwat Dalal, Siddharth Gandhi, Sumukh Aithal, Szymon Antoniak, Teven Le Scao, Thibault Schueller, Thibaut Lavril, Thomas Robert, Thomas Wang, Timothée Lacroix, Tom Bewley, Valeriia Nemychnikova, Victor Paltz:
Voxtral. CoRR abs/2507.13264 (2025) - [i31]Weihan Xu, Kan Jen Cheng, Koichi Saito, Muhammad Jehanzeb Mirza, Tingle Li, Yisi Liu, Alexander H. Liu, Liming Wang, Masato Ishii, Takashi Shibuya, Yuki Mitsufuji, Gopala Anumanchipalli, Paul Pu Liang:
Schrodinger Audio-Visual Editor: Object-Level Audiovisual Removal. CoRR abs/2512.12875 (2025) - 2024
- [c25]Haibin Wu, Ho-Lam Chung, Yi-Cheng Lin, Yuan-Kuei Wu, Xuanjun Chen, Yu-Chi Pai, Hsiu-Hsuan Wang, Kai-Wei Chang, Alexander H. Liu, Hung-yi Lee:
Codec-SUPERB: An In-Depth Analysis of Sound Codec Models. ACL (Findings) 2024: 10330-10348 - [c24]Alexander H. Liu, Sung-Lin Yeh, James R. Glass:
Revisiting Self-supervised Learning of Speech Representation from a Mutual Information Perspective. ICASSP 2024: 12051-12055 - [c23]Yuan Gong
, Hongyin Luo, Alexander H. Liu, Leonid Karlinsky, James R. Glass:
Listen, Think, and Understand. ICLR 2024 - [c22]Alexander H. Liu, Matthew Le, Apoorv Vyas, Bowen Shi, Andros Tjandra, Wei-Ning Hsu:
Generative Pre-training for Speech with Flow Matching. ICLR 2024 - [c21]Jiatong Shi, Jinchuan Tian, Yihan Wu, Jee-Weon Jung, Jia Qi Yip, Yoshiki Masuyama, William Chen, Yuning Wu, Yuxun Tang, Massa Baali, Dareen Alharthi, Dong Zhang, Ruifan Deng, Tejes Srivastava, Haibin Wu, Alexander H. Liu, Bhiksha Raj, Qin Jin, Ruihua Song, Shinji Watanabe:
ESPnet-Codec: Comprehensive Training and Evaluation of Neural Codecs For Audio, Music, and Speech. SLT 2024: 562-569 - [c20]Haibin Wu, Xuanjun Chen, Yi-Cheng Lin, Kai-Wei Chang, Jiawei Du, Ke-Han Lu, Alexander H. Liu, Ho-Lam Chung, Yuan-Kuei Wu, Dongchao Yang, Songxiang Liu, Yi-Chiao Wu, Xu Tan, James R. Glass, Shinji Watanabe, Hung-Yi Lee:
Codec-Superb @ SLT 2024: A Lightweight Benchmark For Neural Audio Codec Models. SLT 2024: 570-577 - [i30]Alexander H. Liu, Sung-Lin Yeh, James R. Glass:
Revisiting Self-supervised Learning of Speech Representation from a Mutual Information Perspective. CoRR abs/2401.08833 (2024) - [i29]Haibin Wu, Ho-Lam Chung, Yi-Cheng Lin, Yuan-Kuei Wu, Xuanjun Chen, Yu-Chi Pai, Hsiu-Hsuan Wang, Kai-Wei Chang, Alexander H. Liu, Hung-yi Lee:
Codec-SUPERB: An In-Depth Analysis of Sound Codec Models. CoRR abs/2402.13071 (2024) - [i28]Haibin Wu, Xuanjun Chen, Yi-Cheng Lin, Kai-Wei Chang, Ho-Lam Chung, Alexander H. Liu, Hung-yi Lee:
Towards audio language modeling - an overview. CoRR abs/2402.13236 (2024) - [i27]Haibin Wu, Xuanjun Chen, Yi-Cheng Lin, Kai-Wei Chang, Jiawei Du, Ke-Han Lu, Alexander H. Liu, Ho-Lam Chung, Yuan-Kuei Wu, Dongchao Yang, Songxiang Liu, Yi-Chiao Wu, Xu Tan, James R. Glass, Shinji Watanabe, Hung-yi Lee:
Codec-SUPERB @ SLT 2024: A lightweight benchmark for neural audio codec models. CoRR abs/2409.14085 (2024) - [i26]Jiatong Shi, Jinchuan Tian, Yihan Wu, Jee-weon Jung, Jia Qi Yip, Yoshiki Masuyama, William Chen, Yuning Wu, Yuxun Tang, Massa Baali, Dareen Alharthi, Dong Zhang, Ruifan Deng, Tejes Srivastava, Haibin Wu, Alexander H. Liu, Bhiksha Raj, Qin Jin, Ruihua Song, Shinji Watanabe:
ESPnet-Codec: Comprehensive Training and Evaluation of Neural Codecs for Audio, Music, and Speech. CoRR abs/2409.15897 (2024) - [i25]Pin-Jui Ku, Alexander H. Liu, Roman Korostik, Sung-Feng Huang, Szu-Wei Fu, Ante Jukic:
Generative Speech Foundation Model Pretraining for High-Quality Speech Extraction and Restoration. CoRR abs/2409.16117 (2024) - [i24]Alexander H. Liu, Qirui Wang, Yuan Gong, James R. Glass:
A Closer Look at Neural Codec Resynthesis: Bridging the Gap between Codec and Waveform Generation. CoRR abs/2410.22448 (2024) - [i23]Shester Gueuwou, Xiaodan Du, Greg Shakhnarovich, Karen Livescu, Alexander H. Liu:
SHuBERT: Self-Supervised Sign Language Representation Learning via Multi-Stream Cluster Prediction. CoRR abs/2411.16765 (2024) - 2023
- [c19]Yuan Gong, Alexander H. Liu, Hongyin Luo, Leonid Karlinsky, James R. Glass:
Joint Audio and Speech Understanding. ASRU 2023: 1-8 - [c18]Yuan Gong, Andrew Rouditchenko, Alexander H. Liu, David Harwath, Leonid Karlinsky, Hilde Kuehne, James R. Glass:
Contrastive Audio-Visual Masked Autoencoder. ICLR 2023 - [c17]Heng-Jui Chang, Alexander H. Liu, James R. Glass:
Self-supervised Fine-tuning for Improved Content Representations by Speaker-invariant Clustering. INTERSPEECH 2023: 2983-2987 - [c16]Alexander H. Liu, Heng-Jui Chang, Michael Auli, Wei-Ning Hsu, James R. Glass:
DinoSR: Self-Distillation and Online Clustering for Self-supervised Speech Representation Learning. NeurIPS 2023 - [i22]Alexander H. Liu, Heng-Jui Chang, Michael Auli, Wei-Ning Hsu, James R. Glass:
DinoSR: Self-Distillation and Online Clustering for Self-supervised Speech Representation Learning. CoRR abs/2305.10005 (2023) - [i21]Yuan Gong, Hongyin Luo, Alexander H. Liu, Leonid Karlinsky, James R. Glass:
Listen, Think, and Understand. CoRR abs/2305.10790 (2023) - [i20]Heng-Jui Chang, Alexander H. Liu, James R. Glass:
Self-supervised Fine-tuning for Improved Content Representations by Speaker-invariant Clustering. CoRR abs/2305.11072 (2023) - [i19]Yuan Gong, Alexander H. Liu, Hongyin Luo, Leonid Karlinsky, James R. Glass:
Joint Audio and Speech Understanding. CoRR abs/2309.14405 (2023) - [i18]Alexander H. Liu, Matt Le, Apoorv Vyas, Bowen Shi, Andros Tjandra, Wei-Ning Hsu:
Generative Pre-training for Speech with Flow Matching. CoRR abs/2310.16338 (2023) - 2022
- [j3]Yuan Gong, Alexander H. Liu, Andrew Rouditchenko, James R. Glass:
UAVM: Towards Unifying Audio and Visual Models. IEEE Signal Process. Lett. 29: 2437-2441 (2022) - [j2]Yi-Long Liou, Jui-Yang Hsu, Chen-Sheng Chen, Alexander H. Liu, Hung-Yi Lee, Tsung-Te Liu:
A Fully Integrated 1.7mW Attention-Based Automatic Speech Recognition Processor. IEEE Trans. Circuits Syst. II Express Briefs 69(10): 4178-4182 (2022) - [c15]Alexander H. Liu, SouYoung Jin, Cheng-I Lai, Andrew Rouditchenko, Aude Oliva, James R. Glass:
Cross-Modal Discrete Representation Learning. ACL (1) 2022: 3013-3035 - [c14]Cheng-I Jeff Lai, Erica Cooper, Yang Zhang, Shiyu Chang, Kaizhi Qian, Yi-Lun Liao, Yung-Sung Chuang, Alexander H. Liu, Junichi Yamagishi, David D. Cox, James R. Glass:
On the Interplay between Sparsity, Naturalness, Intelligibility, and Prosody in Speech Synthesis. ICASSP 2022: 8447-8451 - [c13]Alexander H. Liu, Cheng-I Lai, Wei-Ning Hsu, Michael Auli, Alexei Baevski, James R. Glass:
Simple and Effective Unsupervised Speech Synthesis. INTERSPEECH 2022: 843-847 - [c12]Alexander H. Liu, Wei-Ning Hsu, Michael Auli, Alexei Baevski:
Towards End-to-End Unsupervised Speech Recognition. SLT 2022: 221-228 - [i17]Alexander H. Liu, Wei-Ning Hsu, Michael Auli, Alexei Baevski:
Towards End-to-end Unsupervised Speech Recognition. CoRR abs/2204.02492 (2022) - [i16]Alexander H. Liu, Cheng-I Jeff Lai, Wei-Ning Hsu, Michael Auli, Alexei Baevski, James R. Glass:
Simple and Effective Unsupervised Speech Synthesis. CoRR abs/2204.02524 (2022) - [i15]Yuan Gong, Alexander H. Liu, Andrew Rouditchenko, James R. Glass:
UAVM: A Unified Model for Audio-Visual Learning. CoRR abs/2208.00061 (2022) - [i14]Yuan Gong, Andrew Rouditchenko, Alexander H. Liu, David Harwath, Leonid Karlinsky, Hilde Kuehne, James R. Glass:
Contrastive Audio-Visual Masked Autoencoder. CoRR abs/2210.07839 (2022) - 2021
- [j1]Shun-Po Chuang, Alexander H. Liu, Tzu-Wei Sung, Hung-yi Lee:
Improving Automatic Speech Recognition and Speech Translation via Word Embedding Prediction. IEEE ACM Trans. Audio Speech Lang. Process. 29: 93-105 (2021) - [c11]Mathew Monfort, SouYoung Jin, Alexander H. Liu, David Harwath, Rogério Feris, James R. Glass, Aude Oliva:
Spoken Moments: Learning Joint Audio-Visual Representations From Video Descriptions. CVPR 2021: 14871-14881 - [c10]Alexander H. Liu, Yu-An Chung, James R. Glass:
Non-Autoregressive Predictive Coding for Learning Speech Representations from Local Dependencies. Interspeech 2021: 3730-3734 - [c9]Cheng-I Jeff Lai, Yang Zhang, Alexander H. Liu, Shiyu Chang, Yi-Lun Liao, Yung-Sung Chuang, Kaizhi Qian, Sameer Khurana, David D. Cox, James R. Glass:
PARP: Prune, Adjust and Re-Prune for Self-Supervised Speech Recognition. NeurIPS 2021: 21256-21272 - [c8]Heng-Jui Chang, Alexander H. Liu, Hung-yi Lee, Lin-Shan Lee:
End-to-End Whispered Speech Recognition with Frequency-Weighted Approaches and Pseudo Whisper Pre-training. SLT 2021: 186-193 - [i13]Mathew Monfort, SouYoung Jin, Alexander H. Liu, David Harwath, Rogério Feris, James R. Glass, Aude Oliva:
Spoken Moments: Learning Joint Audio-Visual Representations from Video Descriptions. CoRR abs/2105.04489 (2021) - [i12]Alexander H. Liu, SouYoung Jin, Cheng-I Jeff Lai, Andrew Rouditchenko, Aude Oliva, James R. Glass:
Cross-Modal Discrete Representation Learning. CoRR abs/2106.05438 (2021) - [i11]Cheng-I Jeff Lai, Yang Zhang, Alexander H. Liu, Shiyu Chang, Yi-Lun Liao, Yung-Sung Chuang, Kaizhi Qian, Sameer Khurana, David D. Cox, James R. Glass:
PARP: Prune, Adjust and Re-Prune for Self-Supervised Speech Recognition. CoRR abs/2106.05933 (2021) - [i10]Cheng-I Jeff Lai, Erica Cooper, Yang Zhang, Shiyu Chang, Kaizhi Qian, Yi-Lun Liao, Yung-Sung Chuang, Alexander H. Liu, Junichi Yamagishi, David D. Cox, James R. Glass:
On the Interplay Between Sparsity, Naturalness, Intelligibility, and Prosody in Speech Synthesis. CoRR abs/2110.01147 (2021) - [i9]Kevin Duarte, Brian Chen, Nina Shvetsova, Andrew Rouditchenko, Samuel Thomas, Alexander H. Liu, David Harwath, James R. Glass, Hilde Kuehne, Mubarak Shah:
Routing with Self-Attention for Multimodal Capsule Networks. CoRR abs/2112.00775 (2021) - 2020
- [c7]Shun-Po Chuang, Tzu-Wei Sung, Alexander H. Liu, Hung-yi Lee:
Worse WER, but Better BLEU? Leveraging Word Embedding as Intermediate in Multitask End-to-End Speech Translation. ACL 2020: 5998-6003 - [c6]Alexander H. Liu, Tao Tu, Hung-yi Lee, Lin-Shan Lee:
Towards Unsupervised Speech Recognition and Synthesis with Quantized Speech Representation Learning. ICASSP 2020: 7259-7263 - [c5]Alexander H. Liu, Tzu-Wei Sung, Shun-Po Chuang, Hung-yi Lee, Lin-Shan Lee:
Sequence-to-Sequence Automatic Speech Recognition with Word Embedding Regularization and Fused Decoding. ICASSP 2020: 7879-7883 - [c4]Tao Tu, Yuan-Jui Chen, Alexander H. Liu, Hung-yi Lee:
Semi-Supervised Learning for Multi-Speaker Text-to-Speech Synthesis Using Discrete Speech Representation. INTERSPEECH 2020: 3191-3195 - [i8]Heng-Jui Chang, Alexander H. Liu, Hung-yi Lee, Lin-Shan Lee:
End-to-end Whispered Speech Recognition with Frequency-weighted Approaches and Layer-wise Transfer Learning. CoRR abs/2005.01972 (2020) - [i7]Tao Tu, Yuan-Jui Chen, Alexander H. Liu, Hung-yi Lee:
Semi-supervised Learning for Multi-speaker Text-to-speech Synthesis Using Discrete Speech Representation. CoRR abs/2005.08024 (2020) - [i6]Shun-Po Chuang, Tzu-Wei Sung, Alexander H. Liu, Hung-yi Lee:
Worse WER, but Better BLEU? Leveraging Word Embedding as Intermediate in Multitask End-to-End Speech Translation. CoRR abs/2005.10678 (2020) - [i5]Alexander H. Liu, Yu-An Chung, James R. Glass:
Non-Autoregressive Predictive Coding for Learning Speech Representations from Local Dependencies. CoRR abs/2011.00406 (2020)
2010 – 2019
- 2019
- [c3]Po-Yi Chen, Alexander H. Liu, Yen-Cheng Liu, Yu-Chiang Frank Wang:
Towards Scene Understanding: Unsupervised Monocular Depth Estimation With Semantic-Aware Representation. CVPR 2019: 2624-2632 - [c2]Alexander H. Liu, Hung-yi Lee, Lin-Shan Lee:
Adversarial Training of End-to-end Speech Recognition Using a Criticizing Language Model. ICASSP 2019: 6176-6180 - [i4]Alexander H. Liu, Tao Tu, Hung-yi Lee, Lin-Shan Lee:
Towards Unsupervised Speech Recognition and Synthesis with Quantized Speech Representation Learning. CoRR abs/1910.12729 (2019) - [i3]Alexander H. Liu, Tzu-Wei Sung, Shun-Po Chuang, Hung-yi Lee, Lin-Shan Lee:
Sequence-to-sequence Automatic Speech Recognition with Word Embedding Regularization and Fused Decoding. CoRR abs/1910.12740 (2019) - 2018
- [c1]Alexander H. Liu, Yen-Cheng Liu, Yu-Ying Yeh, Yu-Chiang Frank Wang:
A Unified Feature Disentangler for Multi-Domain Image Translation and Manipulation. NeurIPS 2018: 2595-2604 - [i2]Alexander H. Liu, Yen-Cheng Liu, Yu-Ying Yeh, Yu-Chiang Frank Wang:
A Unified Feature Disentangler for Multi-Domain Image Translation and Manipulation. CoRR abs/1809.01361 (2018) - [i1]Alexander H. Liu, Hung-yi Lee, Lin-Shan Lee:
Adversarial Training of End-to-end Speech Recognition Using a Criticizing Language Model. CoRR abs/1811.00787 (2018)
Coauthor Index
Hung-yi Lee
aka: Hung-Yi Lee
aka: Hung-Yi Lee
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