A Unified Feature Disentangler for Multi-Domain Image Translation and Manipulation. - Alexander H. Liu; Yen-Cheng Liu; Yu-Ying Yeh; Yu-Chiang Frank Wang (NeurIPS, 2018)

Towards Scene Understanding: Unsupervised Monocular Depth Estimation With Semantic-Aware Representation. - Po-Yi Chen; Alexander H. Liu; Yen-Cheng Liu; Yu-Chiang Frank Wang (CVPR, 2019)

Adversarial Training of End-to-end Speech Recognition Using a Criticizing Language Model. - Alexander H. Liu; Hung-yi Lee; Lin-Shan Lee (ICASSP, 2019)

Worse WER, but Better BLEU? Leveraging Word Embedding as Intermediate in Multitask End-to-End Speech Translation. - Shun-Po Chuang; Tzu-Wei Sung; Alexander H. Liu; Hung-yi Lee (ACL, 2020)

Sequence-to-Sequence Automatic Speech Recognition with Word Embedding Regularization and Fused Decoding. - Alexander H. Liu; Tzu-Wei Sung; Shun-Po Chuang; Hung-yi Lee; Lin-Shan Lee (ICASSP, 2020)

Towards Unsupervised Speech Recognition and Synthesis with Quantized Speech Representation Learning. - Alexander H. Liu; Tao Tu 002; Hung-yi Lee; Lin-Shan Lee (ICASSP, 2020)

Semi-Supervised Learning for Multi-Speaker Text-to-Speech Synthesis Using Discrete Speech Representation. - Tao Tu 002; Yuan-Jui Chen; Alexander H. Liu; Hung-yi Lee (INTERSPEECH, 2020)

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)

Spoken Moments: Learning Joint Audio-Visual Representations From Video Descriptions. - Mathew Monfort; SouYoung Jin; Alexander H. Liu; David Harwath; Rogério Feris; James R. Glass; Aude Oliva (CVPR, 2021)

Non-Autoregressive Predictive Coding for Learning Speech Representations from Local Dependencies. - Alexander H. Liu; Yu-An Chung; James R. Glass (Interspeech, 2021)

PARP: Prune, Adjust and Re-Prune for Self-Supervised Speech Recognition. - Cheng-I Jeff Lai; Yang Zhang 001; Alexander H. Liu; Shiyu Chang; Yi-Lun Liao; Yung-Sung Chuang; Kaizhi Qian; Sameer Khurana; David D. Cox; James R. Glass (NeurIPS, 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)

Routing with Self-Attention for Multimodal Capsule Networks. - Kevin Duarte; Brian Chen 001; Nina Shvetsova; Andrew Rouditchenko; Samuel Thomas 001; Alexander H. Liu; David Harwath; James R. Glass; Hilde Kuehne; Mubarak Shah (CoRR, 2021)

Improving Automatic Speech Recognition and Speech Translation via Word Embedding Prediction. - Shun-Po Chuang; Alexander H. Liu; Tzu-Wei Sung; Hung-yi Lee (IEEE ACM Trans. Audio Speech Lang. Process., 2021)

Cross-Modal Discrete Representation Learning. - Alexander H. Liu; SouYoung Jin; Cheng-I Lai; Andrew Rouditchenko; Aude Oliva; James R. Glass (ACL (1), 2022)

On the Interplay between Sparsity, Naturalness, Intelligibility, and Prosody in Speech Synthesis. - Cheng-I Jeff Lai; Erica Cooper; Yang Zhang 001; Shiyu Chang; Kaizhi Qian; Yi-Lun Liao; Yung-Sung Chuang; Alexander H. Liu; Junichi Yamagishi; David D. Cox; James R. Glass (ICASSP, 2022)

Simple and Effective Unsupervised Speech Synthesis. - Alexander H. Liu; Cheng-I Lai; Wei-Ning Hsu; Michael Auli; Alexei Baevski; James R. Glass (INTERSPEECH, 2022)

Towards End-to-End Unsupervised Speech Recognition. - Alexander H. Liu; Wei-Ning Hsu; Michael Auli; Alexei Baevski (SLT, 2022)

UAVM: A Unified Model for Audio-Visual Learning. - Yuan Gong 001; Alexander H. Liu; Andrew Rouditchenko; James R. Glass (CoRR, 2022)

UAVM: Towards Unifying Audio and Visual Models. - Yuan Gong 001; Alexander H. Liu; Andrew Rouditchenko; James R. Glass (IEEE Signal Process. Lett., 2022)

A Fully Integrated 1.7mW Attention-Based Automatic Speech Recognition Processor. - Yi-Long Liou; Jui-Yang Hsu; Chen-Sheng Chen; Alexander H. Liu; Hung-Yi Lee; Tsung-Te Liu (IEEE Trans. Circuits Syst. II Express Briefs, 2022)

Joint Audio and Speech Understanding. - Yuan Gong 001; Alexander H. Liu; Hongyin Luo; Leonid Karlinsky; James R. Glass (ASRU, 2023)

Contrastive Audio-Visual Masked Autoencoder. - Yuan Gong 001; Andrew Rouditchenko; Alexander H. Liu; David Harwath; Leonid Karlinsky; Hilde Kuehne; James R. Glass (ICLR, 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)

Codec-SUPERB: An In-Depth Analysis of Sound Codec Models. - 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 (ACL (Findings), 2024)

Revisiting Self-supervised Learning of Speech Representation from a Mutual Information Perspective. - Alexander H. Liu; Sung-Lin Yeh; James R. Glass (ICASSP, 2024)

Listen, Think, and Understand. - Yuan Gong 001; Hongyin Luo; Alexander H. Liu; Leonid Karlinsky; James R. Glass (ICLR, 2024)

Generative Pre-training for Speech with Flow Matching. - Alexander H. Liu; Matthew Le 001; Apoorv Vyas; Bowen Shi; Andros Tjandra; Wei-Ning Hsu (ICLR, 2024)

ESPnet-Codec: Comprehensive Training and Evaluation of Neural Codecs For Audio, Music, and Speech. - Jiatong Shi; Jinchuan Tian; Yihan Wu; Jee-Weon Jung; Jia Qi Yip; Yoshiki Masuyama; William Chen; Yuning Wu 001; Yuxun Tang; Massa Baali; Dareen Alharthi; Dong Zhang; et al. (SLT, 2024)

Codec-Superb @ SLT 2024: A Lightweight Benchmark For Neural Audio Codec Models. - Haibin Wu; Xuanjun Chen; Yi-Cheng Lin; Kaiwei Chang; Jiawei Du; Ke-Han Lu; Alexander H. Liu; Ho-Lam Chung; Yuan-Kuei Wu; Dongchao Yang; Songxiang Liu; Yi-Chiao Wu; et al. (SLT, 2024)

Towards audio language modeling - an overview. - Haibin Wu; Xuanjun Chen; Yi-Cheng Lin; Kai-Wei Chang; Ho-Lam Chung; Alexander H. Liu; Hung-yi Lee (CoRR, 2024)

A Closer Look at Neural Codec Resynthesis: Bridging the Gap between Codec and Waveform Generation. - Alexander H. Liu; Qirui Wang; Yuan Gong 001; James R. Glass (CoRR, 2024)

SHuBERT: Self-Supervised Sign Language Representation Learning via Multi-Stream Cluster Prediction. - Shester Gueuwou; Xiaodan Du 001; Greg Shakhnarovich; Karen Livescu; Alexander H. Liu (ACL (1), 2025)

Generative Speech Foundation Model Pretraining for High-Quality Speech Extraction and Restoration. - Pin-Jui Ku; Alexander H. Liu; Roman Korostik; Sung-Feng Huang; Szu-Wei Fu; Ante Jukic (ICASSP, 2025)

UniWav: Towards Unified Pre-training for Speech Representation Learning and Generation. - Alexander H. Liu; Sang-gil Lee; Chao-Han Huck Yang; Yuan Gong 001; Yu-Chiang Frank Wang; James R. Glass; Rafael Valle; Bryan Catanzaro (ICLR, 2025)

Fugatto 1: Foundational Generative Audio Transformer Opus 1. - Rafael Valle; Rohan Badlani; Zhifeng Kong; Sang-gil Lee; Arushi Goel; Sungwon Kim 001; João Felipe Santos; Shuqi Dai; Siddharth Gururani; Aya Aljafari; Alexander H. Liu; Kevin J. Shih; et al. (ICLR, 2025)

Full-Duplex-Bench: A Benchmark to Evaluate Full-duplex Spoken Dialogue Models on Turn-taking Capabilities. - Guan-Ting Lin; Jiachen Lian; Tingle Li; Qirui Wang; Gopala Anumanchipalli; Alexander H. Liu; Hung-yi Lee (CoRR, 2025)

Magistral. - 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; et al. (CoRR, 2025)

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

Voxtral. - 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; et al. (CoRR, 2025)