Xiaohui Zhang

According to our database, Xiaohui Zhang authored at least 31 papers between 2011 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

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, Xiaohui Zhang, Wei-Ning Hsu, Alexis Conneau, Michael Auli

J. Mach. Learn. Res., 2024

Efficient Streaming LLM for Speech Recognition.

Junteng Jia, Gil Keren, Wei Zhou, Egor Lakomkin, Xiaohui Zhang, Chunyang Wu, Frank Seide, Jay Mahadeokar, Ozlem Kalinli

CoRR, 2024

Less Peaky and More Accurate CTC Forced Alignment by Label Priors.

Ruizhe Huang, Xiaohui Zhang, Zhaoheng Ni, Li Sun, Moto Hira, Jeff Hwang, Vimal Manohar, Vineel Pratap, Matthew Wiesner, Shinji Watanabe, Daniel Povey, Sanjeev Khudanpur

Proceedings of the IEEE International Conference on Acoustics, 2024

2023

TorchAudio 2.1: Advancing speech recognition, self-supervised learning, and audio processing components for PyTorch.

Jeff Hwang, Moto Hira, Caroline Chen, Xiaohui Zhang, Zhaoheng Ni, Guangzhi Sun, Pingchuan Ma, Ruizhe Huang, Vineel Pratap, Yuekai Zhang, Anurag Kumar, Chin-Yun Yu, Chuang Zhu, Chunxi Liu, Jacob Kahn, Mirco Ravanelli, Peng Sun, Shinji Watanabe, Yangyang Shi, Yumeng Tao, Robin Scheibler, Samuele Cornell, Sean Kim, Stavros Petridis

CoRR, 2023

Anchored Speech Recognition with Neural Transducers.

Desh Raj, Junteng Jia, Jay Mahadeokar, Chunyang Wu, Niko Moritz, Xiaohui Zhang, Ozlem Kalinli

Proceedings of the IEEE International Conference on Acoustics, 2023

Torchaudio-Squim: Reference-Less Speech Quality and Intelligibility Measures in Torchaudio.

Anurag Kumar, Ke Tan, Zhaoheng Ni, Pranay Manocha, Xiaohui Zhang, Ethan Henderson, Buye Xu

Proceedings of the IEEE International Conference on Acoustics, 2023

TorchAudio 2.1: Advancing Speech Recognition, Self-Supervised Learning, and Audio Processing Components for Pytorch.

Jeff Hwang, Moto Hira, Caroline Chen, Xiaohui Zhang, Zhaoheng Ni, Guangzhi Sun, Pingchuan Ma, Ruizhe Huang, Vineel Pratap, Yuekai Zhang, Anurag Kumar, Chin-Yun Yu, Chuang Zhu, Chunxi Liu, Jacob Kahn, Mirco Ravanelli, Peng Sun, Shinji Watanabe, Yangyang Shi, Yumeng Tao

Proceedings of the IEEE Automatic Speech Recognition and Understanding Workshop, 2023

ESPnet-ST-v2: Multipurpose Spoken Language Translation Toolkit.

Brian Yan, Jiatong Shi, Yun Tang, Hirofumi Inaguma, Yifan Peng, Siddharth Dalmia, Peter Polak, Patrick Fernandes, Dan Berrebbi, Tomoki Hayashi, Xiaohui Zhang, Zhaoheng Ni, Moto Hira, Soumi Maiti, Juan Pino, Shinji Watanabe

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics: System Demonstrations, 2023

2022

Omni-Sparsity DNN: Fast Sparsity Optimization for On-Device Streaming E2E ASR Via Supernet.

Haichuan Yang, Yuan Shangguan, Dilin Wang, Meng Li, Pierce Chuang, Xiaohui Zhang, Ganesh Venkatesh, Ozlem Kalinli, Vikas Chandra

Proceedings of the IEEE International Conference on Acoustics, 2022

Streaming Transformer Transducer based Speech Recognition Using Non-Causal Convolution.

Yangyang Shi, Chunyang Wu, Dilin Wang, Alex Xiao, Jay Mahadeokar, Xiaohui Zhang, Chunxi Liu, Ke Li, Yuan Shangguan, Varun Nagaraja, Ozlem Kalinli, Mike Seltzer

Proceedings of the IEEE International Conference on Acoustics, 2022

Towards Measuring Fairness in Speech Recognition: Casual Conversations Dataset Transcriptions.

Chunxi Liu, Michael Picheny, Leda Sari, Pooja Chitkara, Alex Xiao, Xiaohui Zhang, Mark Chou, Andres Alvarado, Caner Hazirbas, Yatharth Saraf

Proceedings of the IEEE International Conference on Acoustics, 2022

2021

Benchmarking LF-MMI, CTC And RNN-T Criteria For Streaming ASR.

Xiaohui Zhang, Frank Zhang, Chunxi Liu, Kjell Schubert, Julian Chan, Pradyot Prakash, Jun Liu, Ching-Feng Yeh, Fuchun Peng, Yatharth Saraf, Geoffrey Zweig

Proceedings of the IEEE Spoken Language Technology Workshop, 2021

On Lattice-Free Boosted MMI Training of HMM and CTC-Based Full-Context ASR Models.

Xiaohui Zhang, Vimal Manohar, David Zhang, Frank Zhang, Yangyang Shi, Nayan Singhal, Julian Chan, Fuchun Peng, Yatharth Saraf, Mike Seltzer

Proceedings of the IEEE Automatic Speech Recognition and Understanding Workshop, 2021

2020

Fast, Simpler and More Accurate Hybrid ASR Systems Using Wordpieces.

Frank Zhang, Yongqiang Wang, Xiaohui Zhang, Chunxi Liu, Yatharth Saraf, Geoffrey Zweig

CoRR, 2020

Multilingual Graphemic Hybrid ASR with Massive Data Augmentation.

Chunxi Liu, Qiaochu Zhang, Xiaohui Zhang, Kritika Singh, Yatharth Saraf, Geoffrey Zweig

Proceedings of the 1st Joint Workshop on Spoken Language Technologies for Under-resourced languages and Collaboration and Computing for Under-Resourced Languages, 2020

Faster, Simpler and More Accurate Hybrid ASR Systems Using Wordpieces.

Frank Zhang, Yongqiang Wang, Xiaohui Zhang, Chunxi Liu, Yatharth Saraf, Geoffrey Zweig

Proceedings of the 21st Annual Conference of the International Speech Communication Association, 2020

OOV Recovery with Efficient 2nd Pass Decoding and Open-vocabulary Word-level RNNLM Rescoring for Hybrid ASR.

Xiaohui Zhang, Daniel Povey, Sanjeev Khudanpur

Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

Transformer-Based Acoustic Modeling for Hybrid Speech Recognition.

Yongqiang Wang, Abdelrahman Mohamed, Duc Le, Chunxi Liu, Alex Xiao, Jay Mahadeokar, Hongzhao Huang, Andros Tjandra, Xiaohui Zhang, Frank Zhang, Christian Fuegen, Geoffrey Zweig, Michael L. Seltzer

Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

DEJA-VU: Double Feature Presentation and Iterated Loss in Deep Transformer Networks.

Andros Tjandra, Chunxi Liu, Frank Zhang, Xiaohui Zhang, Yongqiang Wang, Gabriel Synnaeve, Satoshi Nakamura, Geoffrey Zweig

Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

2019

Deja-vu: Double Feature Presentation in Deep Transformer Networks.

Andros Tjandra, Chunxi Liu, Frank Zhang, Xiaohui Zhang, Yongqiang Wang, Gabriel Synnaeve, Satoshi Nakamura, Geoffrey Zweig

CoRR, 2019

Multilingual ASR with Massive Data Augmentation.

Chunxi Liu, Qiaochu Zhang, Xiaohui Zhang, Kritika Singh, Yatharth Saraf, Geoffrey Zweig

CoRR, 2019

From Senones to Chenones: Tied Context-Dependent Graphemes for Hybrid Speech Recognition.

Duc Le, Xiaohui Zhang, Weiyi Zheng, Christian Fügen, Geoffrey Zweig, Michael L. Seltzer

Proceedings of the IEEE Automatic Speech Recognition and Understanding Workshop, 2019

2017

Acoustic Data-Driven Lexicon Learning Based on a Greedy Pronunciation Selection Framework.

Xiaohui Zhang, Vimal Manohar, Daniel Povey, Sanjeev Khudanpur

Proceedings of the 18th Annual Conference of the International Speech Communication Association, 2017

Backstitch: Counteracting Finite-Sample Bias via Negative Steps.

Yiming Wang, Vijayaditya Peddinti, Hainan Xu, Xiaohui Zhang, Daniel Povey, Sanjeev Khudanpur

Proceedings of the 18th Annual Conference of the International Speech Communication Association, 2017

The Kaldi OpenKWS System: Improving Low Resource Keyword Search.

Jan Trmal, Matthew Wiesner, Vijayaditya Peddinti, Xiaohui Zhang, Pegah Ghahremani, Yiming Wang, Vimal Manohar, Hainan Xu, Daniel Povey, Sanjeev Khudanpur

Proceedings of the 18th Annual Conference of the International Speech Communication Association, 2017

2015

Parallel training of Deep Neural Networks with Natural Gradient and Parameter Averaging.

Daniel Povey, Xiaohui Zhang, Sanjeev Khudanpur

Proceedings of the 3rd International Conference on Learning Representations, 2015

A diversity-penalizing ensemble training method for deep learning.

Xiaohui Zhang, Daniel Povey, Sanjeev Khudanpur

Proceedings of the 16th Annual Conference of the International Speech Communication Association, 2015

2014

A keyword search system using open source software.

Jan Trmal, Guoguo Chen, Daniel Povey, Sanjeev Khudanpur, Pegah Ghahremani, Xiaohui Zhang, Vimal Manohar, Chunxi Liu, Aren Jansen, Dietrich Klakow, David Yarowsky, Florian Metze

Proceedings of the 2014 IEEE Spoken Language Technology Workshop, 2014

Improving speaker recognition performance in the domain adaptation challenge using deep neural networks.

Daniel Garcia-Romero, Xiaohui Zhang, Alan McCree, Daniel Povey

Proceedings of the 2014 IEEE Spoken Language Technology Workshop, 2014

Improving deep neural network acoustic models using generalized maxout networks.

Xiaohui Zhang, Jan Trmal, Daniel Povey, Sanjeev Khudanpur

Proceedings of the IEEE International Conference on Acoustics, 2014

2011

Flaw classification in ultrasonic guided waves signal using Wavelet Transform and PNN classifier.

Xiaohui Zhang, Guangmin Sun, Haomiao Liu, Qite Wang

Proceedings of the 2011 International Conference on Wireless Communications & Signal Processing, 2011