Active Learning by Learning. - Wei-Ning Hsu; Hsuan-Tien Lin (AAAI, 2015)

Enhancing automatically discovered multi-level acoustic patterns considering context consistency with applications in spoken term detection. - Cheng-Tao Chung; Wei-Ning Hsu; Cheng-Yi Lee; Lin-Shan Lee (ICASSP, 2015)

Neural Attention for Learning to Rank Questions in Community Question Answering. - Salvatore Romeo; Giovanni Da San Martino; Alberto Barrón-Cedeño; Alessandro Moschitti; Yonatan Belinkov; Wei-Ning Hsu; Yu Zhang 033; Mitra Mohtarami; James R. Glass (COLING, 2016)

Exploiting Depth and Highway Connections in Convolutional Recurrent Deep Neural Networks for Speech Recognition. - Wei-Ning Hsu; Yu Zhang 033; Ann Lee 001; James R. Glass (INTERSPEECH, 2016)

SLS at SemEval-2016 Task 3: Neural-based Approaches for Ranking in Community Question Answering. - Mitra Mohtarami; Yonatan Belinkov; Wei-Ning Hsu; Yu Zhang 033; Tao Lei; Kfir Bar; Scott Cyphers; James R. Glass (SemEval@NAACL-HLT, 2016)

Development of the MIT ASR system for the 2016 Arabic Multi-genre Broadcast Challenge. - Tuka Al Hanai; Wei-Ning Hsu; James R. Glass (SLT, 2016)

A prioritized grid long short-term memory RNN for speech recognition. - Wei-Ning Hsu; Yu Zhang 033; James R. Glass (SLT, 2016)

Recurrent Neural Network Encoder with Attention for Community Question Answering. - Wei-Ning Hsu; Yu Zhang 033; James R. Glass (CoRR, 2016)

Unsupervised domain adaptation for robust speech recognition via variational autoencoder-based data augmentation. - Wei-Ning Hsu; Yu Zhang 033; James R. Glass (ASRU, 2017)

Automatic speech recognition of Arabic multi-genre broadcast media. - Maryam Najafian; Wei-Ning Hsu; Ahmed Ali 002; James R. Glass (ASRU, 2017)

Learning Latent Representations for Speech Generation and Transformation. - Wei-Ning Hsu; Yu Zhang 033; James R. Glass (INTERSPEECH, 2017)

Unsupervised Learning of Disentangled and Interpretable Representations from Sequential Data. - Wei-Ning Hsu; Yu Zhang 033; James R. Glass (NIPS, 2017)

Extracting Domain Invariant Features by Unsupervised Learning for Robust Automatic Speech Recognition. - Wei-Ning Hsu; James R. Glass (ICASSP, 2018)

A Noise-Robust Self-Adaptive Multitarget Speaker Detection System. - Siqi Zheng; Jianzong Wang; Jing Xiao 006; Wei-Ning Hsu; James R. Glass (ICPR, 2018)

Scalable Factorized Hierarchical Variational Autoencoder Training. - Wei-Ning Hsu; James R. Glass (INTERSPEECH, 2018)

Unsupervised Adaptation with Interpretable Disentangled Representations for Distant Conversational Speech Recognition. - Wei-Ning Hsu; Hao Tang 002; James R. Glass (INTERSPEECH, 2018)

A Study of Enhancement, Augmentation and Autoencoder Methods for Domain Adaptation in Distant Speech Recognition. - Hao Tang 002; Wei-Ning Hsu; François Grondin; James R. Glass (INTERSPEECH, 2018)

Unsupervised Representation Learning of Speech for Dialect Identification. - Suwon Shon; Wei-Ning Hsu; James R. Glass (SLT, 2018)

Disentangling by Partitioning: A Representation Learning Framework for Multimodal Sensory Data. - Wei-Ning Hsu; James R. Glass (CoRR, 2018)

Semi-supervised Training for Improving Data Efficiency in End-to-end Speech Synthesis. - Yu-An Chung; Yuxuan Wang 002; Wei-Ning Hsu; Yu Zhang 033; R. J. Skerry-Ryan (ICASSP, 2019)

Disentangling Correlated Speaker and Noise for Speech Synthesis via Data Augmentation and Adversarial Factorization. - Wei-Ning Hsu; Yu Zhang 033; Ron J. Weiss; Yu-An Chung; Yuxuan Wang 002; Yonghui Wu; James R. Glass (ICASSP, 2019)

Hierarchical Generative Modeling for Controllable Speech Synthesis. - Wei-Ning Hsu; Yu Zhang 033; Ron J. Weiss; Heiga Zen; Yonghui Wu; Yuxuan Wang 002; Yuan Cao 007; Ye Jia; Zhifeng Chen; Jonathan Shen; Patrick Nguyen; Ruoming Pang (ICLR (Poster), 2019)

An Unsupervised Autoregressive Model for Speech Representation Learning. - Yu-An Chung; Wei-Ning Hsu; Hao Tang 002; James R. Glass (INTERSPEECH, 2019)

Transfer Learning from Audio-Visual Grounding to Speech Recognition. - Wei-Ning Hsu; David Harwath; James R. Glass (INTERSPEECH, 2019)

Lingvo: a Modular and Scalable Framework for Sequence-to-Sequence Modeling. - Jonathan Shen; Patrick Nguyen; Yonghui Wu; Zhifeng Chen; Mia Xu Chen; Ye Jia; Anjuli Kannan; Tara N. Sainath; Yuan Cao 007; Chung-Cheng Chiu; Yanzhang He; Jan Chorowski; et al. (CoRR, 2019)

Learning Hierarchical Discrete Linguistic Units from Visually-Grounded Speech. - David Harwath; Wei-Ning Hsu; James R. Glass (ICLR, 2020)

Unsupervised Methods for Evaluating Speech Representations. - Michael Gump; Wei-Ning Hsu; James R. Glass (INTERSPEECH, 2020)

A Convolutional Deep Markov Model for Unsupervised Speech Representation Learning. - Sameer Khurana; Antoine Laurent; Wei-Ning Hsu; Jan Chorowski; Adrian Lancucki; Ricard Marxer; James R. Glass (INTERSPEECH, 2020)

Semi-Supervised Speech Recognition via Local Prior Matching. - Wei-Ning Hsu; Ann Lee 001; Gabriel Synnaeve; Awni Y. Hannun (CoRR, 2020)

Differentiable Weighted Finite-State Transducers. - Awni Y. Hannun; Vineel Pratap; Jacob Kahn; Wei-Ning Hsu (CoRR, 2020)

Text-Free Image-to-Speech Synthesis Using Learned Segmental Units. - Wei-Ning Hsu; David Harwath; Christopher Song; James R. Glass (CoRR, 2020)

Text-Free Image-to-Speech Synthesis Using Learned Segmental Units. - Wei-Ning Hsu; David Harwath; Tyler Miller; Christopher Song; James R. Glass (ACL/IJCNLP (1), 2021)

Kaizen: Continuously Improving Teacher Using Exponential Moving Average for Semi-Supervised Speech Recognition. - Vimal Manohar; Tatiana Likhomanenko; Qiantong Xu; Wei-Ning Hsu; Ronan Collobert; Yatharth Saraf; Geoffrey Zweig; Abdelrahman Mohamed (ASRU, 2021)

fairseq S ^2: A Scalable and Integrable Speech Synthesis Toolkit. - Changhan Wang; Wei-Ning Hsu; Yossi Adi; Adam Polyak; Ann Lee 001; Peng-Jen Chen; Jiatao Gu; Juan Pino 001 (EMNLP (Demos), 2021)

Hubert: How Much Can a Bad Teacher Benefit ASR Pre-Training? - Wei-Ning Hsu; Yao-Hung Hubert Tsai; Benjamin Bolte; Ruslan Salakhutdinov; Abdelrahman Mohamed (ICASSP, 2021)

Robust wav2vec 2.0: Analyzing Domain Shift in Self-Supervised Pre-Training. - Wei-Ning Hsu; Anuroop Sriram; Alexei Baevski; Tatiana Likhomanenko; Qiantong Xu; Vineel Pratap; Jacob Kahn; Ann Lee 001; Ronan Collobert; Gabriel Synnaeve; Michael Auli (Interspeech, 2021)

Speech Resynthesis from Discrete Disentangled Self-Supervised Representations. - Adam Polyak; Yossi Adi; Jade Copet; Eugene Kharitonov; Kushal Lakhotia; Wei-Ning Hsu; Abdelrahman Mohamed; Emmanuel Dupoux (Interspeech, 2021)

Unsupervised Speech Recognition. - Alexei Baevski; Wei-Ning Hsu; Alexis Conneau; Michael Auli (NeurIPS, 2021)

Semi-Supervised end-to-end Speech Recognition via Local Prior Matching. - Wei-Ning Hsu; Ann Lee 001; Gabriel Synnaeve; Awni Y. Hannun (SLT, 2021)

Generative Spoken Language Modeling from Raw Audio. - Kushal Lakhotia; Evgeny Kharitonov; Wei-Ning Hsu; Yossi Adi; Adam Polyak; Benjamin Bolte; Tu Anh Nguyen; Jade Copet; Alexei Baevski; Adelrahman Mohamed; Emmanuel Dupoux (CoRR, 2021)

Direct speech-to-speech translation with discrete units. - Ann Lee 001; Peng-Jen Chen; Changhan Wang; Jiatao Gu; Xutai Ma; Adam Polyak; Yossi Adi; Qing He; Yun Tang 002; Juan Miguel Pino; Wei-Ning Hsu (CoRR, 2021)

Direct simultaneous speech to speech translation. - Xutai Ma; Hongyu Gong; Danni Liu; Ann Lee 001; Yun Tang 002; Peng-Jen Chen; Wei-Ning Hsu; Kenneth Heafield; Phillip Koehn; Juan Miguel Pino (CoRR, 2021)

Textless Speech Emotion Conversion using Decomposed and Discrete Representations. - Felix Kreuk; Adam Polyak; Jade Copet; Eugene Kharitonov; Tu Anh Nguyen; Morgane Rivière; Wei-Ning Hsu; Abdelrahman Mohamed; Emmanuel Dupoux; Yossi Adi (CoRR, 2021)

Textless Speech-to-Speech Translation on Real Data. - Ann Lee 001; Hongyu Gong; Paul-Ambroise Duquenne; Holger Schwenk; Peng-Jen Chen; Changhan Wang; Sravya Popuri; Juan Miguel Pino; Jiatao Gu; Wei-Ning Hsu (CoRR, 2021)

HuBERT: Self-Supervised Speech Representation Learning by Masked Prediction of Hidden Units. - Wei-Ning Hsu; Benjamin Bolte; Yao-Hung Hubert Tsai; Kushal Lakhotia; Ruslan Salakhutdinov; Abdelrahman Mohamed (IEEE ACM Trans. Audio Speech Lang. Process., 2021)

Text-Free Prosody-Aware Generative Spoken Language Modeling. - Eugene Kharitonov; Ann Lee 001; Adam Polyak; Yossi Adi; Jade Copet; Kushal Lakhotia; Tu Anh Nguyen; Morgane Rivière; Abdelrahman Mohamed; Emmanuel Dupoux; Wei-Ning Hsu (ACL (1), 2022)

Direct Speech-to-Speech Translation With Discrete Units. - Ann Lee 001; Peng-Jen Chen; Changhan Wang; Jiatao Gu; Sravya Popuri; Xutai Ma; Adam Polyak; Yossi Adi; Qing He; Yun Tang 002; Juan Pino 001; Wei-Ning Hsu (ACL (1), 2022)

Unified Speech-Text Pre-training for Speech Translation and Recognition. - Yun Tang 002; Hongyu Gong; Ning Dong; Changhan Wang; Wei-Ning Hsu; Jiatao Gu; Alexei Baevski; Xian Li 003; Abdelrahman Mohamed; Michael Auli; Juan Miguel Pino (ACL (1), 2022)

Textless Speech Emotion Conversion using Discrete & Decomposed Representations. - Felix Kreuk; Adam Polyak; Jade Copet; Eugene Kharitonov; Tu Anh Nguyen; Morgane Rivière; Wei-Ning Hsu; Abdelrahman Mohamed; Emmanuel Dupoux; Yossi Adi (EMNLP, 2022)

Learning Audio-Visual Speech Representation by Masked Multimodal Cluster Prediction. - Bowen Shi; Wei-Ning Hsu; Kushal Lakhotia; Abdelrahman Mohamed (ICLR, 2022)

data2vec: A General Framework for Self-supervised Learning in Speech, Vision and Language. - Alexei Baevski; Wei-Ning Hsu; Qiantong Xu; Arun Babu; Jiatao Gu; Michael Auli (ICML, 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)

Enhanced Direct Speech-to-Speech Translation Using Self-supervised Pre-training and Data Augmentation. - Sravya Popuri; Peng-Jen Chen; Changhan Wang; Juan Pino 001; Yossi Adi; Jiatao Gu; Wei-Ning Hsu; Ann Lee 001 (INTERSPEECH, 2022)

Robust Self-Supervised Audio-Visual Speech Recognition. - Bowen Shi; Wei-Ning Hsu; Abdelrahman Mohamed (INTERSPEECH, 2022)

Learning Lip-Based Audio-Visual Speaker Embeddings with AV-HuBERT. - Bowen Shi; Abdelrahman Mohamed; Wei-Ning Hsu (INTERSPEECH, 2022)

On-demand compute reduction with stochastic wav2vec 2.0. - Apoorv Vyas; Wei-Ning Hsu; Michael Auli; Alexei Baevski (INTERSPEECH, 2022)

Textless Speech-to-Speech Translation on Real Data. - Ann Lee 001; Hongyu Gong; Paul-Ambroise Duquenne; Holger Schwenk; Peng-Jen Chen; Changhan Wang; Sravya Popuri; Yossi Adi; Juan Miguel Pino; Jiatao Gu; Wei-Ning Hsu (NAACL-HLT, 2022)

u-HuBERT: Unified Mixed-Modal Speech Pretraining And Zero-Shot Transfer to Unlabeled Modality. - Wei-Ning Hsu; Bowen Shi (NeurIPS, 2022)

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

Stop: A Dataset for Spoken Task Oriented Semantic Parsing. - Paden Tomasello; Akshat Shrivastava; Daniel Lazar; Po-Chun Hsu; Duc Le; Adithya Sagar; Ali Elkahky; Jade Copet; Wei-Ning Hsu; Yossi Adi; Robin Algayres; Tu Anh Nguyen; et al. (SLT, 2022)

textless-lib: a Library for Textless Spoken Language Processing. - Eugene Kharitonov; Jade Copet; Kushal Lakhotia; Tu Anh Nguyen; Paden Tomasello; Ann Lee 001; Ali Elkahky; Wei-Ning Hsu; Abdelrahman Mohamed; Emmanuel Dupoux; Yossi Adi (CoRR, 2022)

Measuring the Impact of Individual Domain Factors in Self-Supervised Pre-Training. - Ramon Sanabria; Wei-Ning Hsu; Alexei Baevski; Michael Auli (CoRR, 2022)

A Single Self-Supervised Model for Many Speech Modalities Enables Zero-Shot Modality Transfer. - Wei-Ning Hsu; Bowen Shi (CoRR, 2022)

STOP: A dataset for Spoken Task Oriented Semantic Parsing. - Paden Tomasello; Akshat Shrivastava; Daniel Lazar; Po-Chun Hsu; Duc Le; Adithya Sagar; Ali Elkahky; Jade Copet; Wei-Ning Hsu; Yossef Mordechay; Robin Algayres; Tu Anh Nguyen; et al. (CoRR, 2022)

ReVISE: Self-Supervised Speech Resynthesis with Visual Input for Universal and Generalized Speech Enhancement. - Wei-Ning Hsu; Tal Remez; Bowen Shi; Jacob Donley; Yossi Adi (CoRR, 2022)

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; et al. (ACL (Findings), 2023)

Simple and Effective Unsupervised Speech Translation. - Changhan Wang; Hirofumi Inaguma; Peng-Jen Chen; Ilia Kulikov; Yun Tang 002; Wei-Ning Hsu; Michael Auli; Juan Pino 001 (ACL (1), 2023)

Av-Data2Vec: Self-Supervised Learning of Audio-Visual Speech Representations with Contextualized Target Representations. - Jiachen Lian; Alexei Baevski; Wei-Ning Hsu; Michael Auli (ASRU, 2023)

ReVISE: Self-Supervised Speech Resynthesis with Visual Input for Universal and Generalized Speech Regeneration. - Wei-Ning Hsu; Tal Remez; Bowen Shi; Jacob Donley; Yossi Adi (CVPR, 2023)

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 (EMNLP (Findings), 2023)

Continual Learning for On-Device Speech Recognition Using Disentangled Conformers. - Anuj Diwan; Ching-Feng Yeh; Wei-Ning Hsu; Paden Tomasello; Eunsol Choi; David Harwath; Abdelrahman Mohamed (ICASSP, 2023)

Do Coarser Units Benefit Cluster Prediction-Based Speech Pre-Training? - Ali Elkahky; Wei-Ning Hsu; Paden Tomasello; Tu Anh Nguyen; Robin Algayres; Yossi Adi; Jade Copet; Emmanuel Dupoux; Abdelrahman Mohamed (ICASSP, 2023)

Cocktail Hubert: Generalized Self-Supervised Pre-Training for Mixture and Single-Source Speech. - Maryam Fazel-Zarandi; Wei-Ning Hsu (ICASSP, 2023)

Measuring the Impact of Domain Factors in Self-Supervised Pre-Training. - Ramon Sanabria; Wei-Ning Hsu; Alexei Baevski; Michael Auli (ICASSP Workshops, 2023)

Scaling Laws for Generative Mixed-Modal Language Models. - Armen Aghajanyan; Lili Yu; Alexis Conneau; Wei-Ning Hsu; Karen Hambardzumyan; Susan Zhang; Stephen Roller; Naman Goyal 001; Omer Levy; Luke Zettlemoyer (ICML, 2023)

Efficient Self-supervised Learning with Contextualized Target Representations for Vision, Speech and Language. - Alexei Baevski; Arun Babu; Wei-Ning Hsu; Michael Auli (ICML, 2023)

MuAViC: A Multilingual Audio-Visual Corpus for Robust Speech Recognition and Robust Speech-to-Text Translation. - Mohamed Anwar; Bowen Shi; Vedanuj Goswami; Wei-Ning Hsu; Juan Pino 001; Changhan Wang (INTERSPEECH, 2023)

Expresso: A Benchmark and Analysis of Discrete Expressive Speech Resynthesis. - Tu Anh Nguyen; Wei-Ning Hsu; Antony D'Avirro; Bowen Shi; Itai Gat; Maryam Fazel-Zarandi; Tal Remez; Jade Copet; Gabriel Synnaeve; Michael Hassid; Felix Kreuk; Yossi Adi; et al. (INTERSPEECH, 2023)

Voicebox: Text-Guided Multilingual Universal Speech Generation at Scale. - Matthew Le 001; Apoorv Vyas; Bowen Shi; Brian Karrer; Leda Sari; Rashel Moritz; Mary Williamson; Vimal Manohar; Yossi Adi; Jay Mahadeokar; Wei-Ning Hsu (NeurIPS, 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)

Efficient Speech Representation Learning with Low-Bit Quantization. - Ching-Feng Yeh; Wei-Ning Hsu; Paden Tomasello; Abdelrahman Mohamed (CoRR, 2023)

Low-Resource Self-Supervised Learning with SSL-Enhanced TTS. - Po-Chun Hsu; Ali Elkahky; Wei-Ning Hsu; Yossi Adi; Tu Anh Nguyen; Jade Copet; Emmanuel Dupoux; Hung-yi Lee; Abdelrahman Mohamed (CoRR, 2023)

Audiobox: Unified Audio Generation with Natural Language Prompts. - Apoorv Vyas; Bowen Shi; Matthew Le 001; Andros Tjandra; Yi-Chiao Wu; Baishan Guo; Jiemin Zhang; Xinyue Zhang; Robert Adkins; William Ngan; Jeff Wang; Ivan Cruz; et al. (CoRR, 2023)

Generative Spoken Dialogue Language Modeling. - Tu Anh Nguyen; Eugene Kharitonov; Jade Copet; Yossi Adi; Wei-Ning Hsu; Ali Elkahky; Paden Tomasello; Robin Algayres; Benoît Sagot; Abdelrahman Mohamed; Emmanuel Dupoux (Trans. Assoc. Comput. Linguistics, 2023)

XLAVS-R: Cross-Lingual Audio-Visual Speech Representation Learning for Noise-Robust Speech Perception. - HyoJung Han; Mohamed Anwar; Juan Pino 001; Wei-Ning Hsu; Marine Carpuat; Bowen Shi; Changhan Wang (ACL (1), 2024)

Action2Sound: Ambient-Aware Generation of Action Sounds from Egocentric Videos. - Changan Chen; Puyuan Peng; Ami Baid; Zihui Xue; Wei-Ning Hsu; David Harwath; Kristen Grauman (ECCV (70), 2024)

M2BART: Multilingual and Multimodal Encoder-Decoder Pre-Training for Any-to-Any Machine Translation. - Peng-Jen Chen; Bowen Shi; Kelvin Niu; Ann Lee 001; Wei-Ning Hsu (ICASSP, 2024)

Attention or Convolution: Transformer Encoders in Audio Language Models for Inference Efficiency. - Sungho Jeon 002; Ching-Feng Yeh; Hakan Inan; Wei-Ning Hsu; Rashi Rungta; Yashar Mehdad; Daniel Bikel (ICASSP Workshops, 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)

MusicFlow: Cascaded Flow Matching for Text Guided Music Generation. - K. R. Prajwal; Bowen Shi; Matthew Le 001; Apoorv Vyas; Andros Tjandra; Mahi Luthra; Baishan Guo; Huiyu Wang; Triantafyllos Afouras; David Kant; Wei-Ning Hsu (ICML, 2024)

Learning Fine-Grained Controllability on Speech Generation via Efficient Fine-Tuning. - Chung-Ming Chien; Andros Tjandra; Apoorv Vyas; Matt Le 001; Bowen Shi; Wei-Ning Hsu (INTERSPEECH, 2024)

Tango 2: Aligning Diffusion-based Text-to-Audio Generations through Direct Preference Optimization. - Navonil Majumder; Chia-Yu Hung; Deepanway Ghosal; Wei-Ning Hsu; Rada Mihalcea; Soujanya Poria (ACM Multimedia, 2024)

Data Efficient Reflow for Few Step Audio Generation. - Lemeng Wu; Zhaoheng Ni; Bowen Shi; Gaël Le Lan; Anurag Kumar 003; Varun Nagaraja; Xinhao Mei; Yunyang Xiong; Bilge Soran; Raghuraman Krishnamoorthi; Wei-Ning Hsu; Yangyang Shi; et al. (SLT, 2024)

High Fidelity Text-Guided Music Generation and Editing via Single-Stage Flow Matching. - Gaël Le Lan; Bowen Shi; Zhaoheng Ni; Sidd Srinivasan; Anurag Kumar 003; Brian Ellis; David Kant; Varun Nagaraja; Ernie Chang; Wei-Ning Hsu; Yangyang Shi; Vikas Chandra (CoRR, 2024)

Movie Gen: A Cast of Media Foundation Models. - Adam Polyak; Amit Zohar; Andrew Brown; Andros Tjandra; Animesh Sinha; Ann Lee 001; Apoorv Vyas; Bowen Shi; Chih-Yao Ma; Ching-Yao Chuang; David Yan; Dhruv Choudhary; et al. (CoRR, 2024)

Audiobox TTA-RAG: Improving Zero-Shot and Few-Shot Text-To-Audio with Retrieval-Augmented Generation. - Mu Yang; Bowen Shi; Matthew Le 001; Wei-Ning Hsu; Andros Tjandra (CoRR, 2024)

Scaling Speech Technology to 1, 000+ Languages. - Vineel Pratap; Andros Tjandra; Bowen Shi; Paden Tomasello; Arun Babu; Sayani Kundu; Ali Elkahky; Zhaoheng Ni; Apoorv Vyas; Maryam Fazel-Zarandi; Alexei Baevski; Yossi Adi; et al. (J. Mach. Learn. Res., 2024)

FlowDec: A flow-based full-band general audio codec with high perceptual quality. - Simon Welker; Matthew Le 001; Ricky T. Q. Chen; Wei-Ning Hsu; Timo Gerkmann; Alexander Richard; Yi-Chiao Wu (ICLR, 2025)

Meta Audiobox Aesthetics: Unified Automatic Quality Assessment for Speech, Music, and Sound. - Andros Tjandra; Yi-Chiao Wu; Baishan Guo; John Hoffman; Brian Ellis; Apoorv Vyas; Bowen Shi; Sanyuan Chen; Matt Le 001; Nick Zacharov; Carleigh Wood; Ann Lee 001; et al. (CoRR, 2025)