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ORCIDChao Zhang 0031
Person information
- affiliation: Tsinghua University, Department of Electronic Engineering, Beijing, China
- affiliation (PhD 2017): University of Cambridge, Department of Engineering, UK
Other persons with the same name
- Chao Zhang — disambiguation page
- Chao Zhang 0001
![[0000-0002-1018-4144]](https://dblp.uni-trier.de/img/orcid-mark.12x12.png "0000-0002-1018-4144")
— Peking University, Key Laboratory of Machine Perception, Beijing, China - Chao Zhang 0002 — University of Wollongong, School of Engineering Physics, NSW, Australia
- Chao Zhang 0003 — Xi'an Jiaotong University, School of Electronics and Information Engineering, China (and 1 more)
- Chao Zhang 0004 — Tsinghua University, Labs of Avionics, School of Aerospace Engineering, Beijing, China (and 1 more)
- Chao Zhang 0005 — University of Paris-Sud, Gif sur Yvette, France
- Chao Zhang 0006 — Center for Ecological Research and Forestry Applications, Cerdanyola del Vallés, Spain
- Chao Zhang 0007 — Peking University, Center for Energy-Efficient Computing and Applications (CECA), Beijing, China
- Chao Zhang 0008 — Tsinghua University, Institute for Network Science and Cyberspace, Beijing, China (and 2 more)
- Chao Zhang 0009 — Tsinghua University, Department of Electronic Engineering, TNList, Beijing, China (and 1 more)
- Chao Zhang 0010 — Beijing Normal University, College of Information Science and Technology, China (and 1 more)
- Chao Zhang 0011 — University of New South Wales, Canberra, Australia
- Chao Zhang 0012 — Guangzhou University, China (and 1 more)
- Chao Zhang 0013 — Nankai University, Tianjin, China
- Chao Zhang 0014 — Georgia Institute of Technology, College of Computing, Atlanta, GA, USA (and 1 more)
- Chao Zhang 0015 — Shandong Agricultural University, Agricultural Big-Data Research Center, Tai'an, China
- Chao Zhang 0016 — Jiangsu University, School of Electrical and Information Engineering, Zhenjiang, China (and 1 more)
- Chao Zhang 0017 — Dalian University of Technology, School of Mathematical Sciences, China (and 2 more)
- Chao Zhang 0018 — Northwest Agriculture and Forestry University, MOE Key Laboratory of Agricultural Soil and Water Engineering in Arid Area, Yangling, China
- Chao Zhang 0019 — Delft University of Technology, Quantum and Computer Engineering, The Netherlands
- Chao Zhang 0020 — University of Nottingham, Nottingham Geospatial Engineering / Department of Civil Engineering, UK
- Chao Zhang 0021 — Beihang University, School of Astronautics, Beijing, China
- Chao Zhang 0022 — Chongqing University, State Key Laboratory of Power Transmission Equipment and System Security and New Technology, China
- Chao Zhang 0023 — University of York, UK
- Chao Zhang 0024 — Beijing Institute of Technology, China
- Chao Zhang 0025 — Hefei University of Technology, School of Management, China
- Chao Zhang 0026 — Hefei University of Technology, Anhui Engineering Laboratory of Renewable Energy and Industrial Energy Conservation, China
- Chao Zhang 0027 — Beihang University, School of Automation Science and Electrical Engineering, Beijing, China
- Chao Zhang 0028 — University of Western Australia, Perth, Australia
- Chao Zhang 0029 — Zhejiang University, Hangzhou, Zhejiang, China
- Chao Zhang 0030 — University of Fukui, Department of Engineering, Japan (and 1 more)
- Chao Zhang 0032 — University of Missouri, Department of Computer Science, Columbia, MO, USA
- Chao Zhang 0033 — Northwestern Polytechnical University, School of Aeronautics, Department of Aeronautical Structure Engineering, Xi'an, China (and 3 more)
- Chao Zhang 0034 — Tsinghua University, Beijing, China (and 1 more)
- Chao Zhang 0035 — Zhengzhou University, School of Water Conservancy and Environment, China (and 1 more)
- Chao Zhang 0036 — Lomonosov Moscow State University, Department of Computational Mechanics, Russia
- Chao Zhang 0037 — Xi'an Jiaotong University, School of Mechanical Engineering, China
- Chao Zhang 0038 — Kunming University of Science and Technology, Faculty of Mechanical and Electrical Engineering, China
- Chao Zhang 0039 — Lehigh University, Department of Electrical and Computer Engineering, Bethlehem, PA, USA
- Chao Zhang 0040 — Yangzhou University, College of Mechanical Engineering, China (and 2 more)
- Chao Zhang 0041 — Northwestern Polytechnical University, School of Aeronautics, Xi'an, China
- Chao Zhang 0042 — Henan Institute of Technology, School of Electrical Engineering and Automation, Xinxiang, China (and 1 more)
- Chao Zhang 0043 — Changchun University, School of Electronic Information Engineering, China
- Chao Zhang 0044 — Harbin Institute of Technology, School of Electrical Engineering and Automation, China
- Chao Zhang 0045 — University of Waterloo, Canada (and 2 more)
- Chao Zhang 0046 — Shanxi University, School of Computer and Information Technology, Taiyuan, China
- Chao Zhang 0047 — Anhui University, School of Computer Science and Technology, Hefei, China
- Chao Zhang 0048 — Queen Mary University of London, School of Electronic Engineering and Computer Science, UK
- Chao Zhang 0049 — University of Southern California, Department of Computer Science, Los Angeles, CA, USA
- Chao Zhang 0050 — Meta, CA, USA (and 2 more)
- Chao Zhang 0051 — University of Jinan, School of Mathematical Sciences, China (and 1 more)
- Chao Zhang 0052 — Nanjing Tech University, Pujiang Institute, Department of Basic Courses, China
- Chao Zhang 0053 — Peking University, School of Life Sciences, China
- Chao Zhang 0054 — Sun Yat-Sen University, School of Geography and Planning, Guangzhou, China
- Chao Zhang 0055 — University of California at San Diego, Department of Electrical and Computer Engineering, CA, USA
- Chao Zhang 0056 — Beijing Jiaotong University, China
- Chao Zhang 0057 — Hefei University of of Technology, Department of Biomedical Engineering, China
- Chao Zhang 0058 — Shenyang University of Technology, National Engineering Research Center for Rare-earth Permanent Magnet Machines, China
- Chao Zhang 0059 — Beijing Jiaotong University, School of Electrical Engineering, China
- Chao Zhang 0060 — Shandong University of Science and Technology, College of Electrical Engineering and Automation, Qingdao, China (and 1 more)
- Chao Zhang 0061 — Civil Aviation University of China, Basic Experiment Center, Tianjin, China
- Chao Zhang 0062 — Beijing University of Posts and Telecommunications, School of Information and Communication Engineering, China
- Chao Zhang 0063 — Brookhaven National Laboratory, Department of Physics, Upton, NY, USA
- Chao Zhang 0064 — Shimane University, Department of Mechanical Electrical and Electronic Engineering, Matsue, Japan (and 1 more)
- Chao Zhang 0065 — Fuzhou University, College of Civil Engineering, China
- Chao Zhang 0066 — China University of Petroleum (East China), School of Petroleum Engineering, Qingdao, China
- Chao Zhang 0067 — Uppsala University, Department of Chemistry, Sweden
- Chao Zhang 0068 — Qufu Normal University, College of Chinese Language and Literature, China
- Chao Zhang 0069 — Northeastern University, School of Computer Science and Engineering, Shenyang, China
- Chao Zhang 0070 — Lund University, Department of Electrical and Information Technology, Sweden
- Chao Zhang 0071 — Eindhoven University of Technology, Department of Industrial Engineering and Innovation Sciences, The Netherlands
- Chao Zhang 0072 — University of Electronic Science and Technology of China, School of Information and Communication Engineering, Chengdu, China (and 1 more)
- Chao Zhang 0073 — Hunan University, College of Electrical and Information Engineering, Changsha, China
- Chao Zhang 0074 — Harbin Engineering University, Faculty of Computer Science and Technology, China
- Chao Zhang 0075 — Tsinghua University, Department of Electronic Engineering, Beijing National Research Center for Information Science and Technology, China
- Chao Zhang 0076 — Harbin Institute of Technology, School of Mechanical Engineering and Automation, Shenzhen, China
- Chao Zhang 0077 — University of Alberta, Department of Physics, Edmonton, AB, Canada (and 1 more)
- Chao Zhang 0078 — Nanjing University, Department of Control and Systems Engineering, China
- Chao Zhang 0079 — Yunnan Normal University, School of Physics and Electronic Information, Kunming, China
- Chao Zhang 0080 — Guizhou University, School of Mathematics and Statistics, Guiyang, China
- Chao Zhang 0081 — China Agricultural University, College of Land Science and Technology, Key Laboratory of Remote Sensing for Agri-Hazards, Beijing, China
- Chao Zhang 0082 — Cornell University, Ithaca, NY, USA
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Books and Theses
- 2017
[b1]Chao Zhang:
Joint training methods for tandem and hybrid speech recognition systems using deep neural networks. University of Cambridge, UK, 2017
Journal Articles
- 2025
- [j14]Guangzhi Sun, Chao Zhang, Ivan Vulic, Pawel Budzianowski, Philip C. Woodland:
Knowledge-aware audio-grounded generative slot filling for limited annotated data. Comput. Speech Lang. 89: 101707 (2025) - 2024
- [j13]Guangzhi Sun, Chao Zhang, Philip C. Woodland:
Graph Neural Networks for Contextual ASR With the Tree-Constrained Pointer Generator. IEEE ACM Trans. Audio Speech Lang. Process. 32: 2407-2417 (2024) - [j12]Yang Li, Cheng Yu, Guangzhi Sun, Weiqin Zu, Zheng Tian, Ying Wen, Wei Pan, Chao Zhang, Jun Wang, Yang Yang, Fanglei Sun:
Cross-Utterance Conditioned VAE for Speech Generation. IEEE ACM Trans. Audio Speech Lang. Process. 32: 4263-4276 (2024) - 2023
- [j11]Qiujia Li, Chao Zhang, Philip C. Woodland:
Combining hybrid DNN-HMM ASR systems with attention-based models using lattice rescoring. Speech Commun. 147: 12-21 (2023) - [j10]Wen Wu, Chao Zhang, Xixin Wu, Philip C. Woodland:
Estimating the Uncertainty in Emotion Class Labels With Utterance-Specific Dirichlet Priors. IEEE Trans. Affect. Comput. 14(4): 2810-2822 (2023) - [j9]Guangzhi Sun, Chao Zhang, Philip C. Woodland:
Minimising Biasing Word Errors for Contextual ASR With the Tree-Constrained Pointer Generator. IEEE ACM Trans. Audio Speech Lang. Process. 31: 345-354 (2023) - [j8]Ya-Jie Zhang, Chao Zhang, Wei Song, Zhengchen Zhang, Youzheng Wu, Xiaodong He:
Prosody Modelling With Pre-Trained Cross-Utterance Representations for Improved Speech Synthesis. IEEE ACM Trans. Audio Speech Lang. Process. 31: 2812-2823 (2023) - 2022
- [j7]Cai Wingfield, Chao Zhang, Barry Devereux, Elisabeth Fonteneau, Andrew Thwaites, Xunying Liu, Philip C. Woodland, William D. Marslen-Wilson, Li Su:
On the similarities of representations in artificial and brain neural networks for speech recognition. Frontiers Comput. Neurosci. 16 (2022) - 2021
- [j6]Guangzhi Sun, Chao Zhang, Philip C. Woodland:
Combination of deep speaker embeddings for diarisation. Neural Networks 141: 372-384 (2021) - [j5]Adnan Haider, Chao Zhang, Florian L. Kreyssig, Philip C. Woodland:
A distributed optimisation framework combining natural gradient with Hessian-free for discriminative sequence training. Neural Networks 143: 537-549 (2021) - 2020
- [j4]Xiaodong He, Li Deng, Richard Rose, Minlie Huang, Isabel Trancoso, Chao Zhang:
Introduction to the Special Issue on Deep Learning for Multi-Modal Intelligence Across Speech, Language, Vision, and Heterogeneous Signals. IEEE J. Sel. Top. Signal Process. 14(3): 474-477 (2020) - [j3]Chao Zhang, Zichao Yang, Xiaodong He, Li Deng:
Multimodal Intelligence: Representation Learning, Information Fusion, and Applications. IEEE J. Sel. Top. Signal Process. 14(3): 478-493 (2020) - 2017
- [j2]Cai Wingfield, Li Su, Xunying Liu, Chao Zhang, Philip C. Woodland, Andrew Thwaites, Elisabeth Fonteneau, William D. Marslen-Wilson:
Relating dynamic brain states to dynamic machine states: Human and machine solutions to the speech recognition problem. PLoS Comput. Biol. 13(9) (2017) - 2013
- [j1]Chao Zhang, Yi Liu, Yunqing Xia, Xuan Wang, Chin-Hui Lee:
Reliable Accent-Specific Unit Generation With Discriminative Dynamic Gaussian Mixture Selection for Multi-Accent Chinese Speech Recognition. IEEE Trans. Speech Audio Process. 21(10): 2073-2084 (2013)
Conference and Workshop Papers
- 2024
- [c74]Wen Wu, Wenlin Chen, Chao Zhang, Philip C. Woodland:
Modelling Variability in Human Annotator Simulation. ACL (Findings) 2024: 1139-1157 - [c73]Wen Wu, Bo Li, Chao Zhang, Chung-Cheng Chiu, Qiujia Li, Junwen Bai, Tara N. Sainath, Philip C. Woodland:
Handling Ambiguity in Emotion: From Out-of-Domain Detection to Distribution Estimation. ACL (1) 2024: 2078-2093 - [c72]Guangzhi Sun, Shutong Feng, Dongcheng Jiang, Chao Zhang, Milica Gasic, Philip C. Woodland:
Speech-based Slot Filling using Large Language Models. ACL (Findings) 2024: 6351-6362 - [c71]Kuan-Chen Wang, You-Jin Li, Wei-Lun Chen, Yu-Wen Chen, Yi-Ching Wang, Ping-Cheng Yeh, Chao Zhang, Yu Tsao:
Bridging the Gap: Integrating Pre-Trained Speech Enhancement and Recognition Models for Robust Speech Recognition. EUSIPCO 2024: 426-430 - [c70]Changli Tang, Wenyi Yu, Guangzhi Sun, Xianzhao Chen, Tian Tan, Wei Li, Lu Lu, Zejun Ma, Chao Zhang:
Extending Large Language Models for Speech and Audio Captioning. ICASSP 2024: 11236-11240 - [c69]Qiuming Zhao, Guangzhi Sun, Chao Zhang, Mingxing Xu, Thomas Fang Zheng:
Enhancing Quantised End-to-End ASR Models Via Personalisation. ICASSP 2024: 12426-12430 - [c68]Wenyi Yu, Changli Tang, Guangzhi Sun, Xianzhao Chen, Tian Tan, Wei Li, Lu Lu, Zejun Ma, Chao Zhang:
Connecting Speech Encoder and Large Language Model for ASR. ICASSP 2024: 12637-12641 - [c67]Siyin Wang, Chao-Han Huck Yang, Ji Wu, Chao Zhang:
Can Whisper Perform Speech-Based In-Context Learning? ICASSP 2024: 13421-13425 - [c66]Yuchen Hu, Chen Chen, Chao-Han Huck Yang, Ruizhe Li, Chao Zhang, Pin-Yu Chen, Engsiong Chng:
Large Language Models are Efficient Learners of Noise-Robust Speech Recognition. ICLR 2024 - [c65]Changli Tang, Wenyi Yu, Guangzhi Sun, Xianzhao Chen, Tian Tan, Wei Li, Lu Lu, Zejun Ma, Chao Zhang:
SALMONN: Towards Generic Hearing Abilities for Large Language Models. ICLR 2024 - [c64]Guangzhi Sun, Wenyi Yu, Changli Tang, Xianzhao Chen, Tian Tan, Wei Li, Lu Lu, Zejun Ma, Yuxuan Wang, Chao Zhang:
video-SALMONN: Speech-Enhanced Audio-Visual Large Language Models. ICML 2024 - [c63]Shutong Feng, Guangzhi Sun, Nurul Lubis, Wen Wu, Chao Zhang, Milica Gasic:
Affect Recognition in Conversations Using Large Language Models. SIGDIAL 2024: 259-273 - 2023
- [c62]Wen Wu, Chao Zhang, Philip C. Woodland:
Estimating the Uncertainty in Emotion Attributes using Deep Evidential Regression. ACL (1) 2023: 15681-15695 - [c61]Ziyun Cui, Wen Wu, Wei-Qiang Zhang, Ji Wu, Chao Zhang:
Transferring Speech-Generic and Depression-Specific Knowledge for Alzheimer's Disease Detection. ASRU 2023: 1-8 - [c60]Shaoxiong Lin, Chao Zhang, Yanmin Qian:
Improving Speech Enhancement Using Audio Tagging Knowledge From Pre-Trained Representations and Multi-Task Learning. ASRU 2023: 1-7 - [c59]Shuo-Yiin Chang, Chao Zhang, Tara N. Sainath, Bo Li, Trevor Strohman:
Context-Aware end-to-end ASR Using Self-Attentive Embedding and Tensor Fusion. ICASSP 2023: 1-5 - [c58]Evonne P. C. Lee, Guangzhi Sun, Chao Zhang, Philip C. Woodland:
Spectral Clustering-Aware Learning of Embeddings for Speaker Diarisation. ICASSP 2023: 1-5 - [c57]Guangzhi Sun, Chao Zhang, Philip C. Woodland:
End-to-End Spoken Language Understanding with Tree-Constrained Pointer Generator. ICASSP 2023: 1-5 - [c56]Wen Wu, Chao Zhang, Philip C. Woodland:
Self-Supervised Representations in Speech-Based Depression Detection. ICASSP 2023: 1-5 - [c55]Chao Zhang, Bo Li, Tara N. Sainath, Trevor Strohman, Shuo-Yiin Chang:
UML: A Universal Monolingual Output Layer For Multilingual Asr. ICASSP 2023: 1-5 - [c54]Ziyang Ma, Zhisheng Zheng, Guanrou Yang, Yu Wang, Chao Zhang, Xie Chen:
Pushing the Limits of Unsupervised Unit Discovery for SSL Speech Representation. INTERSPEECH 2023: 1269-1273 - [c53]Guangzhi Sun, Xianrui Zheng, Chao Zhang, Philip C. Woodland:
Can Contextual Biasing Remain Effective with Whisper and GPT-2? INTERSPEECH 2023: 1289-1293 - [c52]Dongcheng Jiang, Chao Zhang, Philip C. Woodland:
A Neural Time Alignment Module for End-to-End Automatic Speech Recognition. INTERSPEECH 2023: 1374-1378 - [c51]Wen Wu, Chao Zhang, Philip C. Woodland:
Integrating Emotion Recognition with Speech Recognition and Speaker Diarisation for Conversations. INTERSPEECH 2023: 3607-3611 - 2022
- [c50]Chao Zhang, Bo Li, Zhiyun Lu, Tara N. Sainath, Shuo-Yiin Chang:
Improving the Fusion of Acoustic and Text Representations in RNN-T. ICASSP 2022: 8117-8121 - [c49]Shuo-Yiin Chang, Bo Li, Tara N. Sainath, Chao Zhang, Trevor Strohman, Qiao Liang, Yanzhang He:
Turn-Taking Prediction for Natural Conversational Speech. INTERSPEECH 2022: 1821-1825 - [c48]Guangzhi Sun, Chao Zhang, Philip C. Woodland:
Tree-constrained Pointer Generator with Graph Neural Network Encodings for Contextual Speech Recognition. INTERSPEECH 2022: 2043-2047 - [c47]Chao Zhang, Bo Li, Tara N. Sainath, Trevor Strohman, Sepand Mavandadi, Shuo-Yiin Chang, Parisa Haghani:
Streaming End-to-End Multilingual Speech Recognition with Joint Language Identification. INTERSPEECH 2022: 3223-3227 - [c46]Xianrui Zheng, Chao Zhang, Philip C. Woodland:
Tandem Multitask Training of Speaker Diarisation and Speech Recognition for Meeting Transcription. INTERSPEECH 2022: 3844-3848 - [c45]Shaan Bijwadia, Shuo-Yiin Chang, Bo Li, Tara N. Sainath, Chao Zhang, Yanzhang He:
Unified End-to-End Speech Recognition and Endpointing for Fast and Efficient Speech Systems. SLT 2022: 310-316 - [c44]Sepand Mavandadi, Bo Li, Chao Zhang, Brian Farris, Tara N. Sainath, Trevor Strohman:
A Truly Multilingual First Pass and Monolingual Second Pass Streaming on-Device ASR System. SLT 2022: 838-845 - [c43]Wen Wu, Chao Zhang, Philip C. Woodland:
Distribution-Based Emotion Recognition in Conversation. SLT 2022: 860-867 - 2021
- [c42]Xianrui Zheng, Chao Zhang, Philip C. Woodland:
Adapting GPT, GPT-2 and BERT Language Models for Speech Recognition. ASRU 2021: 162-168 - [c41]Guangzhi Sun, Chao Zhang, Philip C. Woodland:
Tree-Constrained Pointer Generator for End-to-End Contextual Speech Recognition. ASRU 2021: 780-787 - [c40]Guanghui Xu, Wei Song, Zhengchen Zhang, Chao Zhang, Xiaodong He, Bowen Zhou:
Improving Prosody Modelling with Cross-Utterance Bert Embeddings for End-to-End Speech Synthesis. ICASSP 2021: 6079-6083 - [c39]Wen Wu, Chao Zhang, Philip C. Woodland:
Emotion Recognition by Fusing Time Synchronous and Time Asynchronous Representations. ICASSP 2021: 6269-6273 - [c38]Wei Xue, Gang Quan, Chao Zhang, Guohong Ding, Xiaodong He, Bowen Zhou:
Neural Kalman Filtering for Speech Enhancement. ICASSP 2021: 7108-7112 - [c37]Guangzhi Sun, D. Liu, Chao Zhang, Philip C. Woodland:
Content-Aware Speaker Embeddings for Speaker Diarisation. ICASSP 2021: 7168-7172 - [c36]Guangzhi Sun, Chao Zhang, Philip C. Woodland:
Transformer Language Models with LSTM-Based Cross-Utterance Information Representation. ICASSP 2021: 7363-7367 - [c35]Wei Song, Xin Yuan, Zhengchen Zhang, Chao Zhang, Youzheng Wu, Xiaodong He, Bowen Zhou:
Dian: Duration Informed Auto-Regressive Network for Voice Cloning. ICASSP 2021: 8598-8602 - [c34]Dongcheng Jiang, Chao Zhang, Philip C. Woodland:
Variable Frame Rate Acoustic Models Using Minimum Error Reinforcement Learning. Interspeech 2021: 2601-2605 - [c33]Qiujia Li, Florian L. Kreyssig, Chao Zhang, Philip C. Woodland:
Discriminative Neural Clustering for Speaker Diarisation. SLT 2021: 574-581 - 2020
- [c32]Yassir Fathullah, Chao Zhang, Philip C. Woodland:
Improved Large-Margin Softmax Loss for Speaker Diarisation. ICASSP 2020: 7104-7108 - [c31]Wei Song, Guanghui Xu, Zhengchen Zhang, Chao Zhang, Xiaodong He, Bowen Zhou:
Efficient WaveGlow: An Improved WaveGlow Vocoder with Enhanced Speed. INTERSPEECH 2020: 225-229 - [c30]Ying Tong, Wei Xue, Shanluo Huang, Lu Fan, Chao Zhang, Guohong Ding, Xiaodong He:
The JD AI Speaker Verification System for the FFSVC 2020 Challenge. INTERSPEECH 2020: 3476-3480 - [c29]Wei Xue, Ying Tong, Chao Zhang, Guohong Ding, Xiaodong He, Bowen Zhou:
Sound Event Localization and Detection Based on Multiple DOA Beamforming and Multi-Task Learning. INTERSPEECH 2020: 5091-5095 - 2019
- [c28]Qiujia Li, Chao Zhang, Philip C. Woodland:
Integrating Source-Channel and Attention-Based Sequence-to-Sequence Models for Speech Recognition. ASRU 2019: 39-46 - [c27]Guangzhi Sun, Chao Zhang, Philip C. Woodland:
Speaker Diarisation Using 2D Self-attentive Combination of Embeddings. ICASSP 2019: 5801-5805 - [c26]Chao Zhang, Florian L. Kreyssig, Qiujia Li, Philip C. Woodland:
PyHTK: Python Library and ASR Pipelines for HTK. ICASSP 2019: 6470-6474 - [c25]Patrick von Platen, Chao Zhang, Philip C. Woodland:
Multi-Span Acoustic Modelling Using Raw Waveform Signals. INTERSPEECH 2019: 1393-1397 - [c24]Wei Xue, Ying Tong, Guohong Ding, Chao Zhang, Tao Ma, Xiaodong He, Bowen Zhou:
Direct-Path Signal Cross-Correlation Estimation for Sound Source Localization in Reverberation. INTERSPEECH 2019: 2693-2697 - 2018
- [c23]Florian L. Kreyssig, Chao Zhang, Philip C. Woodland:
Improved Tdnns Using Deep Kernels and Frequency Dependent Grid-RNNS. ICASSP 2018: 4864-4868 - [c22]Chao Zhang, Philip C. Woodland:
High Order Recurrent Neural Networks for Acoustic Modelling. ICASSP 2018: 5849-5853 - [c21]Yu Wang, Chao Zhang, Mark J. F. Gales, Philip C. Woodland:
Speaker Adaptation and Adaptive Training for Jointly Optimised Tandem Systems. INTERSPEECH 2018: 872-876 - [c20]Chao Zhang, Philip C. Woodland:
Semi-tied Units for Efficient Gating in LSTM and Highway Networks. INTERSPEECH 2018: 1773-1777 - 2017
- [c19]Chao Zhang, Philip C. Woodland:
Joint optimisation of tandem systems using Gaussian mixture density neural network discriminative sequence training. ICASSP 2017: 5015-5019 - 2016
- [c18]Chao Zhang, Philip C. Woodland:
DNN speaker adaptation using parameterised sigmoid and ReLU hidden activation functions. ICASSP 2016: 5300-5304 - [c17]J. Yang, Chao Zhang, Anton Ragni, Mark J. F. Gales, Philip C. Woodland:
System combination with log-linear models. ICASSP 2016: 5675-5679 - [c16]Linlin Wang, Chao Zhang, Philip C. Woodland, Mark J. F. Gales, Panagiota Karanasou, Pierre Lanchantin, Xunying Liu, Yanmin Qian:
Improved DNN-based segmentation for multi-genre broadcast audio. ICASSP 2016: 5700-5704 - [c15]Pierre Lanchantin, Mark J. F. Gales, Penny Karanasou, Xunying Liu, Yanman Qian, Linlin Wang, Philip C. Woodland, Chao Zhang:
Selection of Multi-Genre Broadcast Data for the Training of Automatic Speech Recognition Systems. INTERSPEECH 2016: 3057-3061 - 2015
- [c14]Rogier C. van Dalen, Jingzhou Yang, Haipeng Wang, Anton Ragni, Chao Zhang, Mark J. F. Gales:
Structured discriminative models using deep neural-network features. ASRU 2015: 160-166 - [c13]Philip C. Woodland, Xunying Liu, Yanmin Qian, Chao Zhang, Mark J. F. Gales, Penny Karanasou, Pierre Lanchantin, Linlin Wang:
Cambridge university transcription systems for the multi-genre broadcast challenge. ASRU 2015: 639-646 - [c12]Pierre Lanchantin, Mark J. F. Gales, Penny Karanasou, Xunying Liu, Yanmin Qian, Linlin Wang, Philip C. Woodland, Chao Zhang:
The development of the cambridge university alignment systems for the multi-genre broadcast challenge. ASRU 2015: 647-653 - [c11]Penny Karanasou, Mark J. F. Gales, Pierre Lanchantin, Xunying Liu, Yanmin Qian, Linlin Wang, Philip C. Woodland, Chao Zhang:
Speaker diarisation and longitudinal linking in multi-genre broadcast data. ASRU 2015: 660-666 - [c10]Xunying Liu, Federico Flego, Linlin Wang, Chao Zhang, Mark J. F. Gales, Philip C. Woodland:
The Cambridge University 2014 BOLT conversational telephone Mandarin Chinese LVCSR system for speech translation. INTERSPEECH 2015: 3145-3149 - [c9]Chao Zhang, Philip C. Woodland:
Parameterised sigmoid and reLU hidden activation functions for DNN acoustic modelling. INTERSPEECH 2015: 3224-3228 - [c8]Chao Zhang, Philip C. Woodland:
A general artificial neural network extension for HTK. INTERSPEECH 2015: 3581-3585 - [c7]Haipeng Wang, Anton Ragni, Mark J. F. Gales, Kate M. Knill, Philip C. Woodland, Chao Zhang:
Joint decoding of tandem and hybrid systems for improved keyword spotting on low resource languages. INTERSPEECH 2015: 3660-3664 - 2014
- [c6]Chao Zhang, Philip C. Woodland:
Standalone training of context-dependent deep neural network acoustic models. ICASSP 2014: 5597-5601 - 2013
- [c5]Kate M. Knill, Mark J. F. Gales, Shakti P. Rath, Philip C. Woodland, Chao Zhang, Shi-Xiong Zhang:
Investigation of multilingual deep neural networks for spoken term detection. ASRU 2013: 138-143 - 2012
- [c4]Chao Zhang, Yi Liu, Yunqing Xia, Chin-Hui Lee:
Discriminative dynamic Gaussian mixture selection with enhanced robustness and performance for multi-accent speech recognition. ICASSP 2012: 4749-4752 - 2011
- [c3]Chao Zhang, Yi Liu, Chin-Hui Lee:
Detection-based accented speech recognition using articulatory features. ASRU 2011: 500-505 - [c2]Jue Hou, Yi Liu, Chao Zhang, Shilei Huang:
An In-car Chinese Noise Corpus for Speech Recognition. IALP 2011: 228-231 - [c1]Chao Zhang, Yi Liu, Yunqing Xia, Thomas Fang Zheng, Jesper Ø. Olsen, Jilei Tian:
Reliable accent specific unit generation with dynamic Gaussian mixture selection for multi-accent speech recognition. ICME 2011: 1-6
Informal and Other Publications
- 2024
- [i72]Yuchen Hu, Chen Chen, Chao-Han Huck Yang, Ruizhe Li, Chao Zhang, Pin-Yu Chen, Eng Siong Chng:
Large Language Models are Efficient Learners of Noise-Robust Speech Recognition. CoRR abs/2401.10446 (2024) - [i71]Wen Wu, Bo Li, Chao Zhang, Chung-Cheng Chiu, Qiujia Li, Junwen Bai, Tara N. Sainath, Philip C. Woodland:
Handling Ambiguity in Emotion: From Out-of-Domain Detection to Distribution Estimation. CoRR abs/2402.12862 (2024) - [i70]Zhe Chen, Heyang Liu, Wenyi Yu, Guangzhi Sun, Hongcheng Liu, Ji Wu, Chao Zhang, Yu Wang, Yanfeng Wang:
M3AV: A Multimodal, Multigenre, and Multipurpose Audio-Visual Academic Lecture Dataset. CoRR abs/2403.14168 (2024) - [i69]Siyin Wang, Chao-Han Huck Yang, Ji Wu, Chao Zhang:
Bayesian Example Selection Improves In-Context Learning for Speech, Text, and Visual Modalities. CoRR abs/2404.14716 (2024) - [i68]Guangzhi Sun, Potsawee Manakul, Adian Liusie, Kunat Pipatanakul, Chao Zhang, Philip C. Woodland, Mark J. F. Gales:
CrossCheckGPT: Universal Hallucination Ranking for Multimodal Foundation Models. CoRR abs/2405.13684 (2024) - [i67]Yuchen Hu, Chen Chen, Chao-Han Huck Yang, Chengwei Qin, Pin-Yu Chen, Eng Siong Chng, Chao Zhang:
Self-Taught Recognizer: Toward Unsupervised Adaptation for Speech Foundation Models. CoRR abs/2405.14161 (2024) - [i66]Chen Chen, Yuchen Hu, Wen Wu, Helin Wang, Eng Siong Chng, Chao Zhang:
Enhancing Zero-shot Text-to-Speech Synthesis with Human Feedback. CoRR abs/2406.00654 (2024) - [i65]Ziyun Cui, Ziyang Zhang, Wen Wu, Guangzhi Sun, Chao Zhang:
Bayesian WeakS-to-Strong from Text Classification to Generation. CoRR abs/2406.03199 (2024) - [i64]Ziyun Cui, Chang Lei, Wen Wu, Yinan Duan, Diyang Qu, Ji Wu, Runsen Chen, Chao Zhang:
Spontaneous Speech-Based Suicide Risk Detection Using Whisper and Large Language Models. CoRR abs/2406.03882 (2024) - [i63]Xiaodong Wu, Wenyi Yu, Chao Zhang, Philip C. Woodland:
An Improved Empirical Fisher Approximation for Natural Gradient Descent. CoRR abs/2406.06420 (2024) - [i62]Changli Tang, Wenyi Yu, Guangzhi Sun, Xianzhao Chen, Tian Tan, Wei Li, Jun Zhang, Lu Lu, Zejun Ma, Yuxuan Wang, Chao Zhang:
Can Large Language Models Understand Spatial Audio? CoRR abs/2406.07914 (2024) - [i61]Kuan-Chen Wang, You-Jin Li, Wei-Lun Chen, Yu-Wen Chen, Yi-Ching Wang, Ping-Cheng Yeh, Chao Zhang, Yu Tsao:
Bridging the Gap: Integrating Pre-trained Speech Enhancement and Recognition Models for Robust Speech Recognition. CoRR abs/2406.12699 (2024) - [i60]Guangzhi Sun, Wenyi Yu, Changli Tang, Xianzhao Chen, Tian Tan, Wei Li, Lu Lu, Zejun Ma, Yuxuan Wang, Chao Zhang:
video-SALMONN: Speech-Enhanced Audio-Visual Large Language Models. CoRR abs/2406.15704 (2024) - [i59]Qiuming Zhao, Guangzhi Sun, Chao Zhang, Mingxing Xu, Thomas Fang Zheng:
SAML: Speaker Adaptive Mixture of LoRA Experts for End-to-End ASR. CoRR abs/2406.19706 (2024) - [i58]Yuchen Hu, Chen Chen, Siyin Wang, Eng Siong Chng, Chao Zhang:
Robust Zero-Shot Text-to-Speech Synthesis with Reverse Inference Optimization. CoRR abs/2407.02243 (2024) - [i57]Wen Wu, Chao Zhang, Philip C. Woodland:
Confidence Estimation for Automatic Detection of Depression and Alzheimer's Disease Based on Clinical Interviews. CoRR abs/2407.19984 (2024) - [i56]Qiuming Zhao, Guangzhi Sun, Chao Zhang, Mingxing Xu, Thomas Fang Zheng:
Speaker Adaptation for Quantised End-to-End ASR Models. CoRR abs/2408.03979 (2024) - [i55]Yiyang Zhao, Shuai Wang, Guangzhi Sun, Zehua Chen, Chao Zhang, Mingxing Xu, Thomas Fang Zheng:
Whisper-PMFA: Partial Multi-Scale Feature Aggregation for Speaker Verification using Whisper Models. CoRR abs/2408.15585 (2024) - [i54]Chao-Han Huck Yang, Taejin Park, Yuan Gong, Yuanchao Li, Zhehuai Chen, Yen-Ting Lin, Chen Chen, Yuchen Hu, Kunal Dhawan, Piotr Zelasko, Chao Zhang, Yun-Nung Chen, Yu Tsao, Jagadeesh Balam, Boris Ginsburg, Sabato Marco Siniscalchi, Eng Siong Chng, Peter Bell, Catherine Lai, Shinji Watanabe, Andreas Stolcke:
Large Language Model Based Generative Error Correction: A Challenge and Baselines for Speech Recognition, Speaker Tagging, and Emotion Recognition. CoRR abs/2409.09785 (2024) - [i53]Siyin Wang, Wenyi Yu, Yudong Yang, Changli Tang, Yixuan Li, Jimin Zhuang, Xianzhao Chen, Xiaohai Tian, Jun Zhang, Guangzhi Sun, Lu Lu, Chao Zhang:
Enabling Auditory Large Language Models for Automatic Speech Quality Evaluation. CoRR abs/2409.16644 (2024) - [i52]Xiaoyu Yang, Qiujia Li, Chao Zhang, Philip C. Woodland:
MT2KD: Towards A General-Purpose Encoder for Speech, Speaker, and Audio Events. CoRR abs/2409.17010 (2024) - 2023
- [i51]Chao Zhang, Bo Li, Tara N. Sainath, Trevor Strohman, Shuo-Yiin Chang:
UML: A Universal Monolingual Output Layer for Multilingual ASR. CoRR abs/2302.11186 (2023) - [i50]Xiaoyu Yang, Qiujia Li, Chao Zhang, Philip C. Woodland:
Knowledge Distillation from Multiple Foundation Models for End-to-End Speech Recognition. CoRR abs/2303.10917 (2023) - [i49]Wen Wu, Chao Zhang, Philip C. Woodland:
Self-supervised representations in speech-based depression detection. CoRR abs/2305.12263 (2023) - [i48]Guangzhi Sun, Chao Zhang, Philip C. Woodland:
Graph Neural Networks for Contextual ASR with the Tree-Constrained Pointer Generator. CoRR abs/2305.18824 (2023) - [i47]Guangzhi Sun, Xianrui Zheng, Chao Zhang, Philip C. Woodland:
Can Contextual Biasing Remain Effective with Whisper and GPT-2? CoRR abs/2306.01942 (2023) - [i46]Wen Wu, Chao Zhang, Philip C. Woodland:
Estimating the Uncertainty in Emotion Attributes using Deep Evidential Regression. CoRR abs/2306.06760 (2023) - [i45]Ziyang Ma, Zhisheng Zheng, Guanrou Yang, Yu Wang, Chao Zhang, Xie Chen:
Pushing the Limits of Unsupervised Unit Discovery for SSL Speech Representation. CoRR abs/2306.08920 (2023) - [i44]Guangzhi Sun, Chao Zhang, Ivan Vulic, Pawel Budzianowski, Philip C. Woodland:
Knowledge-Aware Audio-Grounded Generative Slot Filling for Limited Annotated Data. CoRR abs/2307.01764 (2023) - [i43]Wen Wu, Chao Zhang, Philip C. Woodland:
Integrating Emotion Recognition with Speech Recognition and Speaker Diarisation for Conversations. CoRR abs/2308.07145 (2023) - [i42]Yang Li, Cheng Yu, Guangzhi Sun, Weiqin Zu, Zheng Tian, Ying Wen, Wei Pan, Chao Zhang, Jun Wang, Yang Yang, Fanglei Sun:
Cross-Utterance Conditioned VAE for Speech Generation. CoRR abs/2309.04156 (2023) - [i41]Siyin Wang, Chao-Han Huck Yang, Ji Wu, Chao Zhang:
Can Whisper perform speech-based in-context learning. CoRR abs/2309.07081 (2023) - [i40]Qiuming Zhao, Guangzhi Sun, Chao Zhang, Mingxing Xu, Thomas Fang Zheng:
Enhancing Quantised End-to-End ASR Models via Personalisation. CoRR abs/2309.09136 (2023) - [i39]Shutong Feng, Guangzhi Sun, Nurul Lubis, Chao Zhang, Milica Gasic:
Affect Recognition in Conversations Using Large Language Models. CoRR abs/2309.12881 (2023) - [i38]Wenyi Yu, Changli Tang, Guangzhi Sun, Xianzhao Chen, Tian Tan, Wei Li, Lu Lu, Zejun Ma, Chao Zhang:
Connecting Speech Encoder and Large Language Model for ASR. CoRR abs/2309.13963 (2023) - [i37]Wen Wu, Wenlin Chen, Chao Zhang, Philip C. Woodland:
It HAS to be Subjective: Human Annotator Simulation via Zero-shot Density Estimation. CoRR abs/2310.00486 (2023) - [i36]Ziyun Cui, Wen Wu, Wei-Qiang Zhang, Ji Wu, Chao Zhang:
Transferring speech-generic and depression-specific knowledge for Alzheimer's disease detection. CoRR abs/2310.04358 (2023) - [i35]Theodor Nguyen, Guangzhi Sun, Xianrui Zheng, Chao Zhang, Philip C. Woodland:
Conditional Diffusion Model for Target Speaker Extraction. CoRR abs/2310.04791 (2023) - [i34]Guangzhi Sun, Wenyi Yu, Changli Tang, Xianzhao Chen, Tian Tan, Wei Li, Lu Lu, Zejun Ma, Chao Zhang:
Fine-grained Audio-Visual Joint Representations for Multimodal Large Language Models. CoRR abs/2310.05863 (2023) - [i33]Changli Tang, Wenyi Yu, Guangzhi Sun, Xianzhao Chen, Tian Tan, Wei Li, Lu Lu, Zejun Ma, Chao Zhang:
SALMONN: Towards Generic Hearing Abilities for Large Language Models. CoRR abs/2310.13289 (2023) - [i32]Guangzhi Sun, Shutong Feng, Dongcheng Jiang, Chao Zhang, Milica Gasic, Philip C. Woodland:
Speech-based Slot Filling using Large Language Models. CoRR abs/2311.07418 (2023) - 2022
- [i31]Chao Zhang, Bo Li, Zhiyun Lu, Tara N. Sainath, Shuo-Yiin Chang:
Improving the fusion of acoustic and text representations in RNN-T. CoRR abs/2201.10240 (2022) - [i30]Wen Wu, Chao Zhang, Xixin Wu, Philip C. Woodland:
Estimating the Uncertainty in Emotion Class Labels with Utterance-Specific Dirichlet Priors. CoRR abs/2203.04443 (2022) - [i29]Guangzhi Sun, Chao Zhang, Philip C. Woodland:
Minimising Biasing Word Errors for Contextual ASR with the Tree-Constrained Pointer Generator. CoRR abs/2205.09058 (2022) - [i28]Guangzhi Sun, Chao Zhang, Philip C. Woodland:
Tree-constrained Pointer Generator with Graph Neural Network Encodings for Contextual Speech Recognition. CoRR abs/2207.00857 (2022) - [i27]Xianrui Zheng, Chao Zhang, Philip C. Woodland:
Tandem Multitask Training of Speaker Diarisation and Speech Recognition for Meeting Transcription. CoRR abs/2207.03852 (2022) - [i26]Shuo-Yiin Chang, Bo Li, Tara N. Sainath, Chao Zhang, Trevor Strohman, Qiao Liang, Yanzhang He:
Turn-Taking Prediction for Natural Conversational Speech. CoRR abs/2208.13321 (2022) - [i25]Chao Zhang, Bo Li, Tara N. Sainath, Trevor Strohman, Sepand Mavandadi, Shuo-Yiin Chang, Parisa Haghani:
Streaming End-to-End Multilingual Speech Recognition with Joint Language Identification. CoRR abs/2209.06058 (2022) - [i24]Evonne P. C. Lee, Guangzhi Sun, Chao Zhang, Philip C. Woodland:
Spectral Clustering-aware Learning of Embeddings for Speaker Diarisation. CoRR abs/2210.13576 (2022) - [i23]Guangzhi Sun, Chao Zhang, Philip C. Woodland:
End-to-end Spoken Language Understanding with Tree-constrained Pointer Generator. CoRR abs/2210.16554 (2022) - [i22]Shaan Bijwadia, Shuo-Yiin Chang, Bo Li, Tara N. Sainath, Chao Zhang, Yanzhang He:
Unified End-to-End Speech Recognition and Endpointing for Fast and Efficient Speech Systems. CoRR abs/2211.00786 (2022) - [i21]Wen Wu, Chao Zhang, Philip C. Woodland:
Distribution-based Emotion Recognition in Conversation. CoRR abs/2211.04834 (2022) - 2021
- [i20]Guangzhi Sun, D. Liu, Chao Zhang, Philip C. Woodland:
Content-Aware Speaker Embeddings for Speaker Diarisation. CoRR abs/2102.06467 (2021) - [i19]Guangzhi Sun, Chao Zhang, Philip C. Woodland:
Transformer Language Models with LSTM-based Cross-utterance Information Representation. CoRR abs/2102.06474 (2021) - [i18]Adnan Haider, Chao Zhang, Florian L. Kreyssig, Philip C. Woodland:
A Distributed Optimisation Framework Combining Natural Gradient with Hessian-Free for Discriminative Sequence Training. CoRR abs/2103.07554 (2021) - [i17]Xianrui Zheng, Chao Zhang, Philip C. Woodland:
Adapting GPT, GPT-2 and BERT Language Models for Speech Recognition. CoRR abs/2108.07789 (2021) - [i16]Guangzhi Sun, Chao Zhang, Philip C. Woodland:
Tree-constrained Pointer Generator for End-to-end Contextual Speech Recognition. CoRR abs/2109.00627 (2021) - [i15]Zhiyun Lu, Yanwei Pan, Thibault Doutre, Liangliang Cao, Rohit Prabhavalkar, Chao Zhang, Trevor Strohman:
Input Length Matters: An Empirical Study Of RNN-T And MWER Training For Long-form Telephony Speech Recognition. CoRR abs/2110.03841 (2021) - 2020
- [i14]Wei Xue, Gang Quan, Chao Zhang, Guohong Ding, Xiaodong He, Bowen Zhou:
Neural Kalman Filtering for Speech Enhancement. CoRR abs/2007.13962 (2020) - [i13]Guangzhi Sun, Chao Zhang, Philip C. Woodland:
Cross-Utterance Language Models with Acoustic Error Sampling. CoRR abs/2009.01008 (2020) - [i12]Guangzhi Sun, Chao Zhang, Philip C. Woodland:
Combination of Deep Speaker Embeddings for Diarisation. CoRR abs/2010.12025 (2020) - [i11]Wen Wu, Chao Zhang, Philip C. Woodland:
Emotion recognition by fusing time synchronous and time asynchronous representations. CoRR abs/2010.14102 (2020) - [i10]Guanghui Xu, Wei Song, Zhengchen Zhang, Chao Zhang, Xiaodong He, Bowen Zhou:
Improving Prosody Modelling with Cross-Utterance BERT Embeddings for End-to-end Speech Synthesis. CoRR abs/2011.05161 (2020) - 2019
- [i9]Guangzhi Sun, Chao Zhang, Philip C. Woodland:
Speaker diarisation using 2D self-attentive combination of embeddings. CoRR abs/1902.03190 (2019) - [i8]Patrick von Platen, Chao Zhang, Philip C. Woodland:
Multi-Span Acoustic Modelling using Raw Waveform Signals. CoRR abs/1906.11047 (2019) - [i7]Qiujia Li, Chao Zhang, Philip C. Woodland:
Integrating Source-channel and Attention-based Sequence-to-sequence Models for Speech Recognition. CoRR abs/1909.06614 (2019) - [i6]Qiujia Li, Florian L. Kreyssig, Chao Zhang, Philip C. Woodland:
Discriminative Neural Clustering for Speaker Diarisation. CoRR abs/1910.09703 (2019) - [i5]Yassir Fathullah, Chao Zhang, Philip C. Woodland:
Improved Large-margin Softmax Loss for Speaker Diarisation. CoRR abs/1911.03970 (2019) - [i4]Chao Zhang, Zichao Yang, Xiaodong He, Li Deng:
Multimodal Intelligence: Representation Learning, Information Fusion, and Applications. CoRR abs/1911.03977 (2019) - 2018
- [i3]Florian Kreyssig, Chao Zhang, Philip C. Woodland:
Improved TDNNs using Deep Kernels and Frequency Dependent Grid-RNNs. CoRR abs/1802.06412 (2018) - [i2]Chao Zhang, Philip C. Woodland:
High Order Recurrent Neural Networks for Acoustic Modelling. CoRR abs/1802.08314 (2018) - [i1]Chao Zhang, Philip C. Woodland:
Semi-tied Units for Efficient Gating in LSTM and Highway Networks. CoRR abs/1806.06513 (2018)
Coauthor Index
[j14] [j13] [j11] [j10] [j9] [j7] [j6] [j5] [j2] [c74] [c73] [c72] [c62] [c58] [c57] [c56] [c53] [c52] [c51] [c48] [c46] [c43] [c42] [c41] [c39] [c37] [c36] [c34] [c33] [c32] [c28] [c27] [c26] [c25] [c23] [c22] [c21] [c20] [c19] [c18] [c17] [c16] [c15] [c13] [c12] [c11] [c10] [c9] [c8] [c7] [c6] [c5] [i71] [i68] [i63] [i57] [i52] [i50] [i49] [i48] [i47] [i46] [i44] [i43] [i37] [i35] [i32] [i30] [i29] [i28] [i27] [i24] [i23] [i21] [i20] [i19] [i18] [i17] [i16] [i13] [i12] [i11] [i9] [i8] [i7] [i6] [i5] [i3] [i2] [i1]
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