Joint Learning of Phonetic Units and Word Pronunciations for ASR. - Chia-ying Lee; Yu Zhang 033; James R. Glass (EMNLP, 2013)

Extracting deep neural network bottleneck features using low-rank matrix factorization. - Yu Zhang 033; Ekapol Chuangsuwanich; James R. Glass (ICASSP, 2014)

Recent advances in ASR applied to an Arabic transcription system for Al-Jazeera. - Patrick Cardinal; Ahmed Ali 002; Najim Dehak; Yu Zhang 033; Tuka Al Hanai; Yifan Zhang; James R. Glass; Stephan Vogel (INTERSPEECH, 2014)

Language ID-based training of multilingual stacked bottleneck features. - Anne Cutler; Yu Zhang 033; Ekapol Chuangsuwanich; James R. Glass (INTERSPEECH, 2014)

Graph-based re-ranking using acoustic feature similarity between search results for spoken term detection on low-resource languages. - Hung-yi Lee; Yu Zhang 033; Ekapol Chuangsuwanich; James R. Glass (INTERSPEECH, 2014)

Spoken language understanding using long short-term memory neural networks. - Kaisheng Yao; Baolin Peng; Yu Zhang 033; Dong Yu 001; Geoffrey Zweig; Yangyang Shi (SLT, 2014)

Speech recognition with prediction-adaptation-correction recurrent neural networks. - Yu Zhang 033; Dong Yu 001; Michael L. Seltzer; Jasha Droppo (ICASSP, 2015)

Speaker adaptation using the i-vector technique for bottleneck features. - Patrick Cardinal; Najim Dehak; Yu Zhang 033; James R. Glass (INTERSPEECH, 2015)

The Computational Network Toolkit [Best of the Web]. - Dong Yu 001; Kaisheng Yao; Yu Zhang 033 (IEEE Signal Process. Mag., 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)

Multilingual data selection for training stacked bottleneck features. - Ekapol Chuangsuwanich; Yu Zhang 033; James R. Glass (ICASSP, 2016)

Integrated adaptation with multi-factor joint-learning for far-field speech recognition. - Yanmin Qian; Tian Tan 002; Dong Yu 001; Yu Zhang 033 (ICASSP, 2016)

Speaker-aware training of LSTM-RNNS for acoustic modelling. - Tian Tan 002; Yanmin Qian; Dong Yu 001; Souvik Kundu 003; Liang Lu 001; Khe Chai Sim; Xiong Xiao; Yu Zhang 033 (ICASSP, 2016)

Deep beamforming networks for multi-channel speech recognition. - Xiong Xiao; Shinji Watanabe 001; Hakan Erdogan; Liang Lu 001; John R. Hershey; Michael L. Seltzer; Guoguo Chen; Yu Zhang 033; Michael I. Mandel; Dong Yu 001 (ICASSP, 2016)

Prediction-adaptation-correction recurrent neural networks for low-resource language speech recognition. - Yu Zhang 033; Ekapol Chuangsuwanich; James R. Glass; Dong Yu 001 (ICASSP, 2016)

Highway long short-term memory RNNS for distant speech recognition. - Yu Zhang 033; Guoguo Chen; Dong Yu 001; Kaisheng Yao; Sanjeev Khudanpur; James R. Glass (ICASSP, 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)

On training bi-directional neural network language model with noise contrastive estimation. - Tianxing He; Yu Zhang 033; Jasha Droppo; Kai Yu 004 (ISCSLP, 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)

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)

Sequence-Discriminative Training of Neural Networks. - Guoguo Chen; Yu Zhang 033; Dong Yu 001 (New Era for Robust Speech Recognition, Exploiting Deep Learning, 2017)

Discriminative Beamforming with Phase-Aware Neural Networks for Speech Enhancement and Recognition. - Xiong Xiao; Shinji Watanabe 001; Hakan Erdogan; Michael I. Mandel; Liang Lu 001; John R. Hershey; Michael L. Seltzer; Guoguo Chen; Yu Zhang 033; Dong Yu 001 (New Era for Robust Speech Recognition, Exploiting Deep Learning, 2017)

Advanced Recurrent Neural Networks for Automatic Speech Recognition. - Yu Zhang 033; Dong Yu 001; Guoguo Chen (New Era for Robust Speech Recognition, Exploiting Deep Learning, 2017)

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

Latent Sequence Decompositions. - William Chan; Yu Zhang 033; Quoc V. Le; Navdeep Jaitly (ICLR (Poster), 2017)

Advances in Joint CTC-Attention Based End-to-End Speech Recognition with a Deep CNN Encoder and RNN-LM. - Takaaki Hori; Shinji Watanabe 001; Yu Zhang 033; William Chan (INTERSPEECH, 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)

Training RNNs as Fast as CNNs. - Tao Lei; Yu Zhang 033; Yoav Artzi (CoRR, 2017)

Exploring neural network architectures for acoustic modeling. - Yu Zhang 033 (2017)

Natural TTS Synthesis by Conditioning Wavenet on MEL Spectrogram Predictions. - Jonathan Shen; Ruoming Pang; Ron J. Weiss; Mike Schuster; Navdeep Jaitly; Zongheng Yang; Zhifeng Chen; Yu Zhang 033; Yuxuan Wang 002; R. J. Skerry-Ryan; Rif A. Saurous; Yannis Agiomyrgiannakis; et al. (ICASSP, 2018)

Style Tokens: Unsupervised Style Modeling, Control and Transfer in End-to-End Speech Synthesis. - Yuxuan Wang 002; Daisy Stanton; Yu Zhang 033; R. J. Skerry-Ryan; Eric Battenberg; Joel Shor; Ying Xiao; Ye Jia; Fei Ren; Rif A. Saurous (ICML, 2018)

Transfer Learning from Speaker Verification to Multispeaker Text-To-Speech Synthesis. - Ye Jia; Yu Zhang 033; Ron J. Weiss; Quan Wang; Jonathan Shen; Fei Ren; Zhifeng Chen; Patrick Nguyen; Ruoming Pang; Ignacio López-Moreno; Yonghui Wu (NeurIPS, 2018)

Back-Translation-Style Data Augmentation for end-to-end ASR. - Tomoki Hayashi; Shinji Watanabe 001; Yu Zhang 033; Tomoki Toda; Takaaki Hori; Ramón Fernandez Astudillo; Kazuya Takeda (SLT, 2018)

A Comparison of End-to-End Models for Long-Form Speech Recognition. - Chung-Cheng Chiu; Anjuli Kannan; Rohit Prabhavalkar; Zhifeng Chen; Tara N. Sainath; Yonghui Wu; Wei Han 002; Yu Zhang 033; Ruoming Pang; Sergey Kishchenko; Patrick Nguyen; Arun Narayanan; et al. (ASRU, 2019)

Speech Recognition with Augmented Synthesized Speech. - Andrew Rosenberg; Yu Zhang 033; Bhuvana Ramabhadran; Ye Jia; Pedro J. Moreno 001; Yonghui Wu; Zelin Wu (ASRU, 2019)

End-to-End Multi-View Fusion for 3D Object Detection in LiDAR Point Clouds. - Yin Zhou; Pei Sun; Yu Zhang 033; Dragomir Anguelov; Jiyang Gao; Tom Ouyang; James Guo; Jiquan Ngiam; Vijay Vasudevan (CoRL, 2019)

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)

Cycle-consistency Training for End-to-end Speech Recognition. - Takaaki Hori; Ramón Fernandez Astudillo; Tomoki Hayashi; Yu Zhang 033; Shinji Watanabe 001; Jonathan Le Roux (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)

Bytes Are All You Need: End-to-end Multilingual Speech Recognition and Synthesis with Bytes. - Bo Li 028; Yu Zhang 033; Tara N. Sainath; Yonghui Wu; William Chan (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)

SpecAugment: A Simple Data Augmentation Method for Automatic Speech Recognition. - Daniel S. Park; William Chan; Yu Zhang 033; Chung-Cheng Chiu; Barret Zoph; Ekin D. Cubuk; Quoc V. Le (INTERSPEECH, 2019)

LibriTTS: A Corpus Derived from LibriSpeech for Text-to-Speech. - Heiga Zen; Viet Dang; Rob Clark; Yu Zhang 033; Ron J. Weiss; Ye Jia; Zhifeng Chen; Yonghui Wu (INTERSPEECH, 2019)

Learning to Speak Fluently in a Foreign Language: Multilingual Speech Synthesis and Cross-Language Voice Cloning. - Yu Zhang 033; Ron J. Weiss; Heiga Zen; Yonghui Wu; Zhifeng Chen; R. J. Skerry-Ryan; Ye Jia; Andrew Rosenberg; Bhuvana Ramabhadran (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)

The ASVspoof 2019 database. - Xin Wang 037; Junichi Yamagishi; Massimiliano Todisco; Héctor Delgado; Andreas Nautsch; Nicholas W. D. Evans; Md. Sahidullah; Ville Vestman; Tomi Kinnunen; Kong Aik Lee; Lauri Juvela; Paavo Alku; et al. (CoRR, 2019)

Scalability in Perception for Autonomous Driving: Waymo Open Dataset. - Pei Sun; Henrik Kretzschmar; Xerxes Dotiwalla; Aurelien Chouard; Vijaysai Patnaik; Paul Tsui; James Guo; Yin Zhou; Yuning Chai; Benjamin Caine; Vijay Vasudevan; Wei Han 002; et al. (CVPR, 2020)

Espnet-TTS: Unified, Reproducible, and Integratable Open Source End-to-End Text-to-Speech Toolkit. - Tomoki Hayashi; Ryuichi Yamamoto; Katsuki Inoue; Takenori Yoshimura; Shinji Watanabe 001; Tomoki Toda; Kazuya Takeda; Yu Zhang 033; Xu Tan 003 (ICASSP, 2020)

Speech Sentiment Analysis via Pre-Trained Features from End-to-End ASR Models. - Zhiyun Lu; Liangliang Cao; Yu Zhang 033; Chung-Cheng Chiu; James Fan (ICASSP, 2020)

Specaugment on Large Scale Datasets. - Daniel S. Park; Yu Zhang 033; Chung-Cheng Chiu; Youzheng Chen; Bo Li 028; William Chan; Quoc V. Le; Yonghui Wu (ICASSP, 2020)

A Streaming On-Device End-To-End Model Surpassing Server-Side Conventional Model Quality and Latency. - Tara N. Sainath; Yanzhang He; Bo Li 028; Arun Narayanan; Ruoming Pang; Antoine Bruguier; Shuo-Yiin Chang; Wei Li 133; Raziel Alvarez; Zhifeng Chen; Chung-Cheng Chiu; David Garcia; et al. (ICASSP, 2020)

Generating Diverse and Natural Text-to-Speech Samples Using a Quantized Fine-Grained VAE and Autoregressive Prosody Prior. - Guangzhi Sun; Yu Zhang 033; Ron J. Weiss; Yuan Cao 007; Heiga Zen; Andrew Rosenberg; Bhuvana Ramabhadran; Yonghui Wu (ICASSP, 2020)

Fully-Hierarchical Fine-Grained Prosody Modeling For Interpretable Speech Synthesis. - Guangzhi Sun; Yu Zhang 033; Ron J. Weiss; Yuan Cao 007; Heiga Zen; Yonghui Wu (ICASSP, 2020)

Improving Speech Recognition Using Consistent Predictions on Synthesized Speech. - Gary Wang; Andrew Rosenberg; Zhehuai Chen; Yu Zhang 033; Bhuvana Ramabhadran; Yonghui Wu; Pedro J. Moreno 001 (ICASSP, 2020)

Multistate Encoding with End-To-End Speech RNN Transducer Network. - Zelin Wu; Bo Li 028; Yu Zhang 033; Petar S. Aleksic; Tara N. Sainath (ICASSP, 2020)

Improving Speech Recognition Using GAN-Based Speech Synthesis and Contrastive Unspoken Text Selection. - Zhehuai Chen; Andrew Rosenberg; Yu Zhang 033; Gary Wang; Bhuvana Ramabhadran; Pedro J. Moreno 001 (INTERSPEECH, 2020)

Conformer: Convolution-augmented Transformer for Speech Recognition. - Anmol Gulati; James Qin; Chung-Cheng Chiu; Niki Parmar; Yu Zhang 033; Jiahui Yu; Wei Han 002; Shibo Wang; Zhengdong Zhang; Yonghui Wu; Ruoming Pang (INTERSPEECH, 2020)

ContextNet: Improving Convolutional Neural Networks for Automatic Speech Recognition with Global Context. - Wei Han 002; Zhengdong Zhang; Yu Zhang 033; Jiahui Yu; Chung-Cheng Chiu; James Qin; Anmol Gulati; Ruoming Pang; Yonghui Wu (INTERSPEECH, 2020)

Improved Noisy Student Training for Automatic Speech Recognition. - Daniel S. Park; Yu Zhang 033; Ye Jia; Wei Han 002; Chung-Cheng Chiu; Bo Li 028; Yonghui Wu; Quoc V. Le (INTERSPEECH, 2020)

SCADA: Stochastic, Consistent and Adversarial Data Augmentation to Improve ASR. - Gary Wang; Andrew Rosenberg; Zhehuai Chen; Yu Zhang 033; Bhuvana Ramabhadran; Pedro J. Moreno 001 (INTERSPEECH, 2020)

A Large Scale Speech Sentiment Corpus. - Eric Chen; Zhiyun Lu; Hao Xu; Liangliang Cao; Yu Zhang 033; James Fan (LREC, 2020)

Generating diverse and natural text-to-speech samples using a quantized fine-grained VAE and auto-regressive prosody prior. - Guangzhi Sun; Yu Zhang 033; Ron J. Weiss; Yuan Cao 007; Heiga Zen; Andrew Rosenberg; Bhuvana Ramabhadran; Yonghui Wu (CoRR, 2020)

A Streaming On-Device End-to-End Model Surpassing Server-Side Conventional Model Quality and Latency. - Tara N. Sainath; Yanzhang He; Bo Li 028; Arun Narayanan; Ruoming Pang; Antoine Bruguier; Shuo-Yiin Chang; Wei Li 133; Raziel Alvarez; Zhifeng Chen; Chung-Cheng Chiu; David Garcia; et al. (CoRR, 2020)

Non-Attentive Tacotron: Robust and Controllable Neural TTS Synthesis Including Unsupervised Duration Modeling. - Jonathan Shen; Ye Jia; Mike Chrzanowski; Yu Zhang 033; Isaac Elias; Heiga Zen; Yonghui Wu (CoRR, 2020)

Pushing the Limits of Semi-Supervised Learning for Automatic Speech Recognition. - Yu Zhang 033; James Qin; Daniel S. Park; Wei Han 002; Chung-Cheng Chiu; Ruoming Pang; Quoc V. Le; Yonghui Wu (CoRR, 2020)

Injecting Text in Self-Supervised Speech Pretraining. - Zhehuai Chen; Yu Zhang 033; Andrew Rosenberg; Bhuvana Ramabhadran; Gary Wang; Pedro J. Moreno 001 (ASRU, 2021)

w2v-BERT: Combining Contrastive Learning and Masked Language Modeling for Self-Supervised Speech Pre-Training. - Yu-An Chung; Yu Zhang 033; Wei Han 002; Chung-Cheng Chiu; James Qin; Ruoming Pang; Yonghui Wu (ASRU, 2021)

Scaling End-to-End Models for Large-Scale Multilingual ASR. - Bo Li 028; Ruoming Pang; Tara N. Sainath; Anmol Gulati; Yu Zhang 033; James Qin; Parisa Haghani; W. Ronny Huang; Min Ma; Junwen Bai (ASRU, 2021)

Improving Streaming Automatic Speech Recognition with Non-Streaming Model Distillation on Unsupervised Data. - Thibault Doutre; Wei Han 002; Min Ma; Zhiyun Lu; Chung-Cheng Chiu; Ruoming Pang; Arun Narayanan; Ananya Misra; Yu Zhang 033; Liangliang Cao (ICASSP, 2021)

Parallel Tacotron: Non-Autoregressive and Controllable TTS. - Isaac Elias; Heiga Zen; Jonathan Shen; Yu Zhang 033; Ye Jia; Ron J. Weiss; Yonghui Wu (ICASSP, 2021)

A Better and Faster end-to-end Model for Streaming ASR. - Bo Li 028; Anmol Gulati; Jiahui Yu; Tara N. Sainath; Chung-Cheng Chiu; Arun Narayanan; Shuo-Yiin Chang; Ruoming Pang; Yanzhang He; James Qin; Wei Han 002; Qiao Liang 001; et al. (ICASSP, 2021)

Confidence Estimation for Attention-Based Sequence-to-Sequence Models for Speech Recognition. - Qiujia Li; David Qiu; Yu Zhang 033; Bo Li 028; Yanzhang He; Philip C. Woodland; Liangliang Cao; Trevor Strohman (ICASSP, 2021)

Learning Word-Level Confidence for Subword End-To-End ASR. - David Qiu; Qiujia Li; Yanzhang He; Yu Zhang 033; Bo Li 028; Liangliang Cao; Rohit Prabhavalkar; Deepti Bhatia; Wei Li 133; Ke Hu; Tara N. Sainath; Ian McGraw (ICASSP, 2021)

Echo State Speech Recognition. - Harsh Shrivastava 001; Ankush Garg; Yuan Cao 007; Yu Zhang 033; Tara N. Sainath (ICASSP, 2021)

WaveGrad: Estimating Gradients for Waveform Generation. - Nanxin Chen; Yu Zhang 033; Heiga Zen; Ron J. Weiss; Mohammad Norouzi 002; William Chan (ICLR, 2021)

Semi-Supervision in ASR: Sequential MixMatch and Factorized TTS-Based Augmentation. - Zhehuai Chen; Andrew Rosenberg; Yu Zhang 033; Heiga Zen; Mohammadreza Ghodsi; Yinghui Huang; Jesse Emond; Gary Wang; Bhuvana Ramabhadran; Pedro J. Moreno 001 (Interspeech, 2021)

WaveGrad 2: Iterative Refinement for Text-to-Speech Synthesis. - Nanxin Chen; Yu Zhang 033; Heiga Zen; Ron J. Weiss; Mohammad Norouzi 002; Najim Dehak; William Chan (Interspeech, 2021)

Parallel Tacotron 2: A Non-Autoregressive Neural TTS Model with Differentiable Duration Modeling. - Isaac Elias; Heiga Zen; Jonathan Shen; Yu Zhang 033; Ye Jia; R. J. Skerry-Ryan; Yonghui Wu (Interspeech, 2021)

PnG BERT: Augmented BERT on Phonemes and Graphemes for Neural TTS. - Ye Jia; Heiga Zen; Jonathan Shen; Yu Zhang 033; Yonghui Wu (Interspeech, 2021)

Residual Energy-Based Models for End-to-End Speech Recognition. - Qiujia Li; Yu Zhang 033; Bo Li 028; Liangliang Cao; Philip C. Woodland (Interspeech, 2021)

Exploring Targeted Universal Adversarial Perturbations to End-to-End ASR Models. - Zhiyun Lu; Wei Han 002; Yu Zhang 033; Liangliang Cao (Interspeech, 2021)

Multi-Task Learning for End-to-End ASR Word and Utterance Confidence with Deletion Prediction. - David Qiu; Yanzhang He; Qiujia Li; Yu Zhang 033; Liangliang Cao; Ian McGraw (Interspeech, 2021)

Unsupervised Learning of Disentangled Speech Content and Style Representation. - Andros Tjandra; Ruoming Pang; Yu Zhang 033; Shigeki Karita (Interspeech, 2021)

RNN-T Models Fail to Generalize to Out-of-Domain Audio: Causes and Solutions. - Chung-Cheng Chiu; Arun Narayanan; Wei Han 002; Rohit Prabhavalkar; Yu Zhang 033; Navdeep Jaitly; Ruoming Pang; Tara N. Sainath; Patrick Nguyen; Liangliang Cao; Yonghui Wu (SLT, 2021)

SpeechStew: Simply Mix All Available Speech Recognition Data to Train One Large Neural Network. - William Chan; Daniel S. Park; Chris A. Lee; Yu Zhang 033; Quoc V. Le; Mohammad Norouzi 002 (CoRR, 2021)

Scaling End-to-End Models for Large-Scale Multilingual ASR. - Bo Li 028; Ruoming Pang; Tara N. Sainath; Anmol Gulati; Yu Zhang 033; James Qin; Parisa Haghani; W. Ronny Huang; Min Ma (CoRR, 2021)

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 033 (CoRR, 2021)

Joint Unsupervised and Supervised Training for Multilingual ASR. - Junwen Bai; Bo Li 028; Yu Zhang 033; Ankur Bapna; Nikhil Siddhartha; Khe Chai Sim; Tara N. Sainath (ICASSP, 2022)

Tts4pretrain 2.0: Advancing the use of Text and Speech in ASR Pretraining with Consistency and Contrastive Losses. - Zhehuai Chen; Yu Zhang 033; Andrew Rosenberg; Bhuvana Ramabhadran; Pedro J. Moreno 001; Gary Wang (ICASSP, 2022)

Massively Multilingual ASR: A Lifelong Learning Solution. - Bo Li 028; Ruoming Pang; Yu Zhang 033; Tara N. Sainath; Trevor Strohman; Parisa Haghani; Yun Zhu; Brian Farris; Neeraj Gaur; Manasa Prasad (ICASSP, 2022)

Improving Confidence Estimation on Out-of-Domain Data for End-to-End Speech Recognition. - Qiujia Li; Yu Zhang 033; David Qiu; Yanzhang He; Liangliang Cao; Philip C. Woodland (ICASSP, 2022)

Improving The Latency And Quality Of Cascaded Encoders. - Tara N. Sainath; Yanzhang He; Arun Narayanan; Rami Botros; Weiran Wang; David Qiu; Chung-Cheng Chiu; Rohit Prabhavalkar; Alexander Gruenstein; Anmol Gulati; Bo Li 028; David Rybach; et al. (ICASSP, 2022)

Universal Paralinguistic Speech Representations Using self-Supervised Conformers. - Joel Shor; Aren Jansen; Wei Han 002; Daniel S. Park; Yu Zhang 033 (ICASSP, 2022)

Reducing Domain mismatch in Self-supervised speech pre-training. - Murali Karthick Baskar; Andrew Rosenberg; Bhuvana Ramabhadran; Yu Zhang 033; Nicolás Serrano (INTERSPEECH, 2022)

MAESTRO: Matched Speech Text Representations through Modality Matching. - Zhehuai Chen; Yu Zhang 033; Andrew Rosenberg; Bhuvana Ramabhadran; Pedro J. Moreno 001; Ankur Bapna; Heiga Zen (INTERSPEECH, 2022)

XTREME-S: Evaluating Cross-lingual Speech Representations. - Alexis Conneau; Ankur Bapna; Yu Zhang 033; Min Ma; Patrick von Platen; Anton Lozhkov; Colin Cherry; Ye Jia; Clara Rivera; Mihir Kale; Daan van Esch; Vera Axelrod; et al. (INTERSPEECH, 2022)

Training Text-To-Speech Systems From Synthetic Data: A Practical Approach For Accent Transfer Tasks. - Lev Finkelstein; Heiga Zen; Norman Casagrande; Chun-an Chan; Ye Jia; Tom Kenter; Alexey Petelin; Jonathan Shen; Vincent Wan; Yu Zhang 033; Yonghui Wu; Rob Clark (INTERSPEECH, 2022)

Improving Distortion Robustness of Self-supervised Speech Processing Tasks with Domain Adaptation. - Kuan-Po Huang; Yu-Kuan Fu; Yu Zhang 033; Hung-yi Lee (INTERSPEECH, 2022)

Leveraging unsupervised and weakly-supervised data to improve direct speech-to-speech translation. - Ye Jia; Yifan Ding; Ankur Bapna; Colin Cherry; Yu Zhang 033; Alexis Conneau; Nobu Morioka (INTERSPEECH, 2022)

Unsupervised Data Selection via Discrete Speech Representation for ASR. - Zhiyun Lu; Yongqiang Wang; Yu Zhang 033; Wei Han 002; Zhehuai Chen; Parisa Haghani (INTERSPEECH, 2022)

Maestro-U: Leveraging Joint Speech-Text Representation Learning for Zero Supervised Speech ASR. - Zhehuai Chen; Ankur Bapna; Andrew Rosenberg; Yu Zhang 033; Bhuvana Ramabhadran; Pedro J. Moreno 001; Nanxin Chen (SLT, 2022)

FLEURS: FEW-Shot Learning Evaluation of Universal Representations of Speech. - Alexis Conneau; Min Ma; Simran Khanuja; Yu Zhang 033; Vera Axelrod; Siddharth Dalmia; Jason Riesa; Clara Rivera; Ankur Bapna (SLT, 2022)

Improving Generalizability of Distilled Self-Supervised Speech Processing Models Under Distorted Settings. - Kuan-Po Huang; Yu-Kuan Fu; Tsu-Yuan Hsu; Fabian Ritter Gutierrez; Fan-Lin Wang; Liang-Hsuan Tseng; Yu Zhang 033; Hung-yi Lee (SLT, 2022)

Modular Hybrid Autoregressive Transducer. - Zhong Meng; Tongzhou Chen; Rohit Prabhavalkar; Yu Zhang 033; Gary Wang; Kartik Audhkhasi; Jesse Emond; Trevor Strohman; Bhuvana Ramabhadran; W. Ronny Huang; Ehsan Variani; Yinghui Huang; et al. (SLT, 2022)

JOIST: A Joint Speech and Text Streaming Model for ASR. - Tara N. Sainath; Rohit Prabhavalkar; Ankur Bapna; Yu Zhang 033; Zhouyuan Huo; Zhehuai Chen; Bo Li 028; Weiran Wang; Trevor Strohman (SLT, 2022)

mSLAM: Massively multilingual joint pre-training for speech and text. - Ankur Bapna; Colin Cherry; Yu Zhang 033; Ye Jia; Melvin Johnson; Yong Cheng; Simran Khanuja; Jason Riesa; Alexis Conneau (CoRR, 2022)

Residual Adapters for Few-Shot Text-to-Speech Speaker Adaptation. - Nobuyuki Morioka; Heiga Zen; Nanxin Chen; Yu Zhang 033; Yifan Ding (CoRR, 2022)

Ask2Mask: Guided Data Selection for Masked Speech Modeling. - Murali Karthick Baskar; Andrew Rosenberg; Bhuvana Ramabhadran; Yu Zhang 033; Pedro J. Moreno 001 (IEEE J. Sel. Top. Signal Process., 2022)

BigSSL: Exploring the Frontier of Large-Scale Semi-Supervised Learning for Automatic Speech Recognition. - Yu Zhang 033; Daniel S. Park; Wei Han 002; James Qin; Anmol Gulati; Joel Shor; Aren Jansen; Yuanzhong Xu; Yanping Huang; Shibo Wang; Zongwei Zhou; Bo Li 028; et al. (IEEE J. Sel. Top. Signal Process., 2022)

E3 TTS: Easy End-to-End Diffusion-Based Text To Speech. - Yuan Gao; Nobuyuki Morioka; Yu Zhang 033; Nanxin Chen (ASRU, 2023)

Improving Multilingual and Code-Switching ASR Using Large Language Model Generated Text. - Ke Hu; Tara N. Sainath; Bo Li 028; Yu Zhang 033; Yong Cheng; Tao Wang; Yujing Zhang; Frederick Liu (ASRU, 2023)

SLM: Bridge the Thin Gap Between Speech and Text Foundation Models. - Mingqiu Wang; Wei Han 002; Izhak Shafran; Zelin Wu; Chung-Cheng Chiu; Yuan Cao 007; Nanxin Chen; Yu Zhang 033; Hagen Soltau; Paul K. Rubenstein; Lukas Zilka; Dian Yu; et al. (ASRU, 2023)

Massively Multilingual Shallow Fusion with Large Language Models. - Ke Hu; Tara N. Sainath; Bo Li 028; Nan Du 002; Yanping Huang; Andrew M. Dai; Yu Zhang 033; Rodrigo Cabrera; Zhifeng Chen; Trevor Strohman (ICASSP, 2023)

Comparison of Soft and Hard Target RNN-T Distillation for Large-Scale ASR. - Dongseong Hwang; Khe Chai Sim; Yu Zhang 033; Trevor Strohman (ICASSP, 2023)

Efficient Domain Adaptation for Speech Foundation Models. - Bo Li 028; Dongseong Hwang; Zhouyuan Huo; Junwen Bai; Guru Prakash; Tara N. Sainath; Khe Chai Sim; Yu Zhang 033; Wei Han 002; Trevor Strohman; Françoise Beaufays (ICASSP, 2023)

JEIT: Joint End-to-End Model and Internal Language Model Training for Speech Recognition. - Zhong Meng; Weiran Wang; Rohit Prabhavalkar; Tara N. Sainath; Tongzhou Chen; Ehsan Variani; Yu Zhang 033; Bo Li 028; Andrew Rosenberg; Bhuvana Ramabhadran (ICASSP, 2023)

Virtuoso: Massive Multilingual Speech-Text Joint Semi-Supervised Learning for Text-to-Speech. - Takaaki Saeki; Heiga Zen; Zhehuai Chen; Nobuyuki Morioka; Gary Wang; Yu Zhang 033; Ankur Bapna; Andrew Rosenberg; Bhuvana Ramabhadran (ICASSP, 2023)

Accelerating RNN-T Training and Inference Using CTC Guidance. - Yongqiang Wang; Zhehuai Chen; Chengjian Zheng; Yu Zhang 033; Wei Han 002; Parisa Haghani (ICASSP, 2023)

Understanding Shared Speech-Text Representations. - Gary Wang; Kyle Kastner; Ankur Bapna; Zhehuai Chen; Andrew Rosenberg; Bhuvana Ramabhadran; Yu Zhang 033 (ICASSP, 2023)

From English to More Languages: Parameter-Efficient Model Reprogramming for Cross-Lingual Speech Recognition. - Chao-Han Huck Yang; Bo Li 028; Yu Zhang 033; Nanxin Chen; Rohit Prabhavalkar; Tara N. Sainath; Trevor Strohman (ICASSP, 2023)

A Quantum Kernel Learning Approach to Acoustic Modeling for Spoken Command Recognition. - Chao-Han Huck Yang; Bo Li 028; Yu Zhang 033; Nanxin Chen; Tara N. Sainath; Sabato Marco Siniscalchi; Chin-Hui Lee 001 (ICASSP, 2023)

Mu2SLAM: Multitask, Multilingual Speech and Language Models. - Yong Cheng; Yu Zhang 033; Melvin Johnson; Wolfgang Macherey; Ankur Bapna (ICML, 2023)

How to Estimate Model Transferability of Pre-Trained Speech Models? - Zih-Ching Chen; Chao-Han Huck Yang; Bo Li 028; Yu Zhang 033; Nanxin Chen; Shuo-Yiin Chang; Rohit Prabhavalkar; Hung-yi Lee; Tara N. Sainath (INTERSPEECH, 2023)

Mixture-of-Expert Conformer for Streaming Multilingual ASR. - Ke Hu; Bo Li 028; Tara N. Sainath; Yu Zhang 033; Françoise Beaufays (INTERSPEECH, 2023)

LibriTTS-R: A Restored Multi-Speaker Text-to-Speech Corpus. - Yuma Koizumi; Heiga Zen; Shigeki Karita; Yifan Ding; Kohei Yatabe; Nobuyuki Morioka; Michiel Bacchiani; Yu Zhang 033; Wei Han 002; Ankur Bapna (INTERSPEECH, 2023)

Conditional Adapters: Parameter-efficient Transfer Learning with Fast Inference. - Tao Lei; Junwen Bai; Siddhartha Brahma; Joshua Ainslie; Kenton Lee; Yanqi Zhou; Nan Du 002; Vincent Y. Zhao; Yuexin Wu; Bo Li 028; Yu Zhang 033; Ming-Wei Chang (NeurIPS, 2023)

Miipher: A Robust Speech Restoration Model Integrating Self-Supervised Speech and Text Representations. - Yuma Koizumi; Heiga Zen; Shigeki Karita; Yifan Ding; Kohei Yatabe; Nobuyuki Morioka; Yu Zhang 033; Wei Han 002; Ankur Bapna; Michiel Bacchiani (WASPAA, 2023)

Google USM: Scaling Automatic Speech Recognition Beyond 100 Languages. - Yu Zhang 033; Wei Han 002; James Qin; Yongqiang Wang; Ankur Bapna; Zhehuai Chen; Nanxin Chen; Bo Li 028; Vera Axelrod; Gary Wang; Zhong Meng; Ke Hu; et al. (CoRR, 2023)

Efficient Adapters for Giant Speech Models. - Nanxin Chen; Izhak Shafran; Yu Zhang 033; Chung-Cheng Chiu; Hagen Soltau; James Qin; Yonghui Wu (CoRR, 2023)

AudioPaLM: A Large Language Model That Can Speak and Listen. - Paul K. Rubenstein; Chulayuth Asawaroengchai; Duc Dung Nguyen; Ankur Bapna; Zalán Borsos; Félix de Chaumont Quitry; Peter Chen; Dalia El Badawy; Wei Han 002; Eugene Kharitonov; Hannah Muckenhirn; Dirk Padfield; et al. (CoRR, 2023)

Multimodal Modeling For Spoken Language Identification. - Shikhar Bharadwaj; Min Ma; Shikhar Vashishth; Ankur Bapna; Sriram Ganapathy; Vera Axelrod; Siddharth Dalmia; Wei Han 002; Yu Zhang 033; Daan van Esch; Sandy Ritchie; Partha Talukdar; et al. (CoRR, 2023)

SLM: Bridge the thin gap between speech and text foundation models. - Mingqiu Wang; Wei Han 002; Izhak Shafran; Zelin Wu; Chung-Cheng Chiu; Yuan Cao 007; Yongqiang Wang; Nanxin Chen; Yu Zhang 033; Hagen Soltau; Paul K. Rubenstein; Lukas Zilka; et al. (CoRR, 2023)

IG Captioner: Information Gain Captioners Are Strong Zero-Shot Classifiers. - Chenglin Yang; Siyuan Qiao; Yuan Cao 007; Yu Zhang 033; Tao Zhu 005; Alan L. Yuille; Jiahui Yu (ECCV (64), 2024)

Multilingual and Fully Non-Autoregressive ASR with Large Language Model Fusion: A Comprehensive Study. - W. Ronny Huang; Cyril Allauzen; Tongzhou Chen; Kilol Gupta; Ke Hu; James Qin; Yu Zhang 033; Yongqiang Wang; Shuo-Yiin Chang; Tara N. Sainath (ICASSP, 2024)