Flaw classification in ultrasonic guided waves signal using Wavelet Transform and PNN classifier. - Xiaohui Zhang 007; Guangmin Sun; Haomiao Liu; Qite Wang (WCSP, 2011)

Improving deep neural network acoustic models using generalized maxout networks. - Xiaohui Zhang 007; Jan Trmal; Daniel Povey; Sanjeev Khudanpur (ICASSP, 2014)

Improving speaker recognition performance in the domain adaptation challenge using deep neural networks. - Daniel Garcia-Romero; Xiaohui Zhang 007; Alan McCree; Daniel Povey (SLT, 2014)

A keyword search system using open source software. - Jan Trmal; Guoguo Chen; Daniel Povey; Sanjeev Khudanpur; Pegah Ghahremani; Xiaohui Zhang 007; Vimal Manohar; Chunxi Liu; Aren Jansen; Dietrich Klakow; David Yarowsky; Florian Metze (SLT, 2014)

A diversity-penalizing ensemble training method for deep learning. - Xiaohui Zhang 007; Daniel Povey; Sanjeev Khudanpur (INTERSPEECH, 2015)

Parallel training of Deep Neural Networks with Natural Gradient and Parameter Averaging. - Daniel Povey; Xiaohui Zhang 007; Sanjeev Khudanpur (ICLR (Workshop), 2015)

The Kaldi OpenKWS System: Improving Low Resource Keyword Search. - Jan Trmal; Matthew Wiesner; Vijayaditya Peddinti; Xiaohui Zhang 007; Pegah Ghahremani; Yiming Wang 006; Vimal Manohar; Hainan Xu; Daniel Povey; Sanjeev Khudanpur (INTERSPEECH, 2017)

Backstitch: Counteracting Finite-Sample Bias via Negative Steps. - Yiming Wang 006; Vijayaditya Peddinti; Hainan Xu; Xiaohui Zhang 007; Daniel Povey; Sanjeev Khudanpur (INTERSPEECH, 2017)

Acoustic Data-Driven Lexicon Learning Based on a Greedy Pronunciation Selection Framework. - Xiaohui Zhang 007; Vimal Manohar; Daniel Povey; Sanjeev Khudanpur (INTERSPEECH, 2017)

From Senones to Chenones: Tied Context-Dependent Graphemes for Hybrid Speech Recognition. - Duc Le; Xiaohui Zhang 007; Weiyi Zheng; Christian Fügen; Geoffrey Zweig; Michael L. Seltzer (ASRU, 2019)

Multilingual ASR with Massive Data Augmentation. - Chunxi Liu; Qiaochu Zhang 001; Xiaohui Zhang 007; Kritika Singh; Yatharth Saraf; Geoffrey Zweig (CoRR, 2019)

Deja-vu: Double Feature Presentation in Deep Transformer Networks. - Andros Tjandra; Chunxi Liu; Frank Zhang 001; Xiaohui Zhang 007; Yongqiang Wang 005; Gabriel Synnaeve; Satoshi Nakamura 001; Geoffrey Zweig (CoRR, 2019)

DEJA-VU: Double Feature Presentation and Iterated Loss in Deep Transformer Networks. - Andros Tjandra; Chunxi Liu; Frank Zhang 001; Xiaohui Zhang 007; Yongqiang Wang 005; Gabriel Synnaeve; Satoshi Nakamura 001; Geoffrey Zweig (ICASSP, 2020)

Transformer-Based Acoustic Modeling for Hybrid Speech Recognition. - Yongqiang Wang 005; Abdelrahman Mohamed; Duc Le; Chunxi Liu; Alex Xiao; Jay Mahadeokar; Hongzhao Huang; Andros Tjandra; Xiaohui Zhang 007; Frank Zhang 001; Christian Fuegen; Geoffrey Zweig; et al. (ICASSP, 2020)

OOV Recovery with Efficient 2nd Pass Decoding and Open-vocabulary Word-level RNNLM Rescoring for Hybrid ASR. - Xiaohui Zhang 007; Daniel Povey; Sanjeev Khudanpur (ICASSP, 2020)

Faster, Simpler and More Accurate Hybrid ASR Systems Using Wordpieces. - Frank Zhang 001; Yongqiang Wang 005; Xiaohui Zhang 007; Chunxi Liu; Yatharth Saraf; Geoffrey Zweig (INTERSPEECH, 2020)

Multilingual Graphemic Hybrid ASR with Massive Data Augmentation. - Chunxi Liu; Qiaochu Zhang 001; Xiaohui Zhang 007; Kritika Singh; Yatharth Saraf; Geoffrey Zweig (SLTU-CCURL@LREC, 2020)

Fast, Simpler and More Accurate Hybrid ASR Systems Using Wordpieces. - Frank Zhang 001; Yongqiang Wang 005; Xiaohui Zhang 007; Chunxi Liu; Yatharth Saraf; Geoffrey Zweig (CoRR, 2020)

On Lattice-Free Boosted MMI Training of HMM and CTC-Based Full-Context ASR Models. - Xiaohui Zhang 007; Vimal Manohar; David Zhang; Frank Zhang 001; Yangyang Shi; Nayan Singhal; Julian Chan; Fuchun Peng; Yatharth Saraf; Mike Seltzer (ASRU, 2021)

Benchmarking LF-MMI, CTC And RNN-T Criteria For Streaming ASR. - Xiaohui Zhang 007; Frank Zhang 001; Chunxi Liu; Kjell Schubert; Julian Chan; Pradyot Prakash; Jun Liu; Ching-Feng Yeh; Fuchun Peng; Yatharth Saraf; Geoffrey Zweig (SLT, 2021)

Towards Measuring Fairness in Speech Recognition: Casual Conversations Dataset Transcriptions. - Chunxi Liu; Michael Picheny; Leda Sari; Pooja Chitkara; Alex Xiao; Xiaohui Zhang 007; Mark Chou; Andres Alvarado; Caner Hazirbas; Yatharth Saraf (ICASSP, 2022)

Streaming Transformer Transducer based Speech Recognition Using Non-Causal Convolution. - Yangyang Shi; Chunyang Wu; Dilin Wang; Alex Xiao; Jay Mahadeokar; Xiaohui Zhang 007; Chunxi Liu; Ke Li 023; Yuan Shangguan; Varun Nagaraja; Ozlem Kalinli; Mike Seltzer (ICASSP, 2022)

Omni-Sparsity DNN: Fast Sparsity Optimization for On-Device Streaming E2E ASR Via Supernet. - Haichuan Yang; Yuan Shangguan; Dilin Wang; Meng Li 004; Pierce Chuang; Xiaohui Zhang 007; Ganesh Venkatesh; Ozlem Kalinli; Vikas Chandra (ICASSP, 2022)

ESPnet-ST-v2: Multipurpose Spoken Language Translation Toolkit. - Brian Yan; Jiatong Shi; Yun Tang 002; Hirofumi Inaguma; Yifan Peng 003; Siddharth Dalmia; Peter Polak; Patrick Fernandes; Dan Berrebbi; Tomoki Hayashi; Xiaohui Zhang 007; Zhaoheng Ni; et al. (ACL (demo), 2023)

TorchAudio 2.1: Advancing Speech Recognition, Self-Supervised Learning, and Audio Processing Components for Pytorch. - Jeff Hwang; Moto Hira; Caroline Chen; Xiaohui Zhang 007; Zhaoheng Ni; Guangzhi Sun; Pingchuan Ma 001; Ruizhe Huang; Vineel Pratap; Yuekai Zhang; Anurag Kumar 003; Chin-Yun Yu; et al. (ASRU, 2023)

Torchaudio-Squim: Reference-Less Speech Quality and Intelligibility Measures in Torchaudio. - Anurag Kumar 003; Ke Tan 001; Zhaoheng Ni; Pranay Manocha; Xiaohui Zhang 007; Ethan Henderson; Buye Xu (ICASSP, 2023)

Anchored Speech Recognition with Neural Transducers. - Desh Raj; Junteng Jia; Jay Mahadeokar; Chunyang Wu; Niko Moritz; Xiaohui Zhang 007; Ozlem Kalinli (ICASSP, 2023)

TorchAudio 2.1: Advancing speech recognition, self-supervised learning, and audio processing components for PyTorch. - Jeff Hwang; Moto Hira; Caroline Chen; Xiaohui Zhang 007; Zhaoheng Ni; Guangzhi Sun; Pingchuan Ma 001; Ruizhe Huang; Vineel Pratap; Yuekai Zhang; Anurag Kumar 003; Chin-Yun Yu; et al. (CoRR, 2023)

Less Peaky and More Accurate CTC Forced Alignment by Label Priors. - Ruizhe Huang; Xiaohui Zhang 007; Zhaoheng Ni; Li Sun 010; Moto Hira; Jeff Hwang; Vimal Manohar; Vineel Pratap; Matthew Wiesner; Shinji Watanabe 001; Daniel Povey; Sanjeev Khudanpur (ICASSP, 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)

Efficient Streaming LLM for Speech Recognition. - Junteng Jia; Gil Keren; Wei Zhou; Egor Lakomkin; Xiaohui Zhang 007; Chunyang Wu; Frank Seide; Jay Mahadeokar; Ozlem Kalinli (ICASSP, 2025)