Xie Chen

According to our database, Xie Chen authored at least 74 papers between 2011 and 2024.

Collaborative distances:

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

2024

Advanced Long-Content Speech Recognition With Factorized Neural Transducer.

Xun Gong, Yu Wu, Jinyu Li, Shujie Liu, Rui Zhao, Xie Chen, Yanmin Qian

IEEE ACM Trans. Audio Speech Lang. Process., 2024

Advanced Long-Content Speech Recognition With Factorized Neural Transducer.

Xun Gong, Yu Wu, Jinyu Li, Shujie Liu, Rui Zhao, Xie Chen, Yanmin Qian

CoRR, 2024

An Embarrassingly Simple Approach for LLM with Strong ASR Capacity.

Ziyang Ma, Guanrou Yang, Yifan Yang, Zhifu Gao, Jiaming Wang, Zhihao Du, Fan Yu, Qian Chen, Siqi Zheng, Shiliang Zhang, Xie Chen

CoRR, 2024

BAT: Learning to Reason about Spatial Sounds with Large Language Models.

Zhisheng Zheng, Puyuan Peng, Ziyang Ma, Xie Chen, Eunsol Choi, David Harwath

CoRR, 2024

ELLA-V: Stable Neural Codec Language Modeling with Alignment-guided Sequence Reordering.

Yakun Song, Zhuo Chen, Xiaofei Wang, Ziyang Ma, Xie Chen

CoRR, 2024

EAT: Self-Supervised Pre-Training with Efficient Audio Transformer.

Wenxi Chen, Yuzhe Liang, Ziyang Ma, Zhisheng Zheng, Xie Chen

CoRR, 2024

2023

Speaker Adaptive Text-to-Speech With Timbre-Normalized Vector-Quantized Feature.

Chenpeng Du, Yiwei Guo, Xie Chen, Kai Yu

IEEE ACM Trans. Audio Speech Lang. Process., 2023

emotion2vec: Self-Supervised Pre-Training for Speech Emotion Representation.

Ziyang Ma, Zhisheng Zheng, Jiaxin Ye, Jinchao Li, Zhifu Gao, Shiliang Zhang, Xie Chen

CoRR, 2023

Expressive TTS Driven by Natural Language Prompts Using Few Human Annotations.

Hanglei Zhang, Yiwei Guo, Sen Liu, Xie Chen, Kai Yu

CoRR, 2023

Acoustic BPE for Speech Generation with Discrete Tokens.

Feiyu Shen, Yiwei Guo, Chenpeng Du, Xie Chen, Kai Yu

CoRR, 2023

Leveraging Speech PTM, Text LLM, and Emotional TTS for Speech Emotion Recognition.

Ziyang Ma, Wen Wu, Zhisheng Zheng, Yiwei Guo, Qian Chen, Shiliang Zhang, Xie Chen

CoRR, 2023

Improved Factorized Neural Transducer Model For text-only Domain Adaptation.

Junzhe Liu, Jianwei Yu, Xie Chen

CoRR, 2023

Incorporating Class-based Language Model for Named Entity Recognition in Factorized Neural Transducer.

Peng Wang, Yifan Yang, Zheng Liang, Tian Tan, Shiliang Zhang, Xie Chen

CoRR, 2023

Towards Universal Speech Discrete Tokens: A Case Study for ASR and TTS.

Yifan Yang, Feiyu Shen, Chenpeng Du, Ziyang Ma, Kai Yu, Daniel Povey, Xie Chen

CoRR, 2023

VoiceFlow: Efficient Text-to-Speech with Rectified Flow Matching.

Yiwei Guo, Chenpeng Du, Ziyang Ma, Xie Chen, Kai Yu

CoRR, 2023

Unsupervised Active Learning: Optimizing Labeling Cost-Effectiveness for Automatic Speech Recognition.

Zhisheng Zheng, Ziyang Ma, Yu Wang, Xie Chen

CoRR, 2023

DSE-TTS: Dual Speaker Embedding for Cross-Lingual Text-to-Speech.

Sen Liu, Yiwei Guo, Chenpeng Du, Xie Chen, Kai Yu

CoRR, 2023

Towards Effective and Compact Contextual Representation for Conformer Transducer Speech Recognition Systems.

Mingyu Cui, Jiawen Kang, Jiajun Deng, Xi Yin, Yutao Xie, Xie Chen, Xunying Liu

CoRR, 2023

Pushing the Limits of Unsupervised Unit Discovery for SSL Speech Representation.

Ziyang Ma, Zhisheng Zheng, Guanrou Yang, Yu Wang, Chao Zhang, Xie Chen

CoRR, 2023

Improving Code-Switching and Named Entity Recognition in ASR with Speech Editing based Data Augmentation.

Zheng Liang, Zheshu Song, Ziyang Ma, Chenpeng Du, Kai Yu, Xie Chen

CoRR, 2023

UniCATS: A Unified Context-Aware Text-to-Speech Framework with Contextual VQ-Diffusion and Vocoding.

Chenpeng Du, Yiwei Guo, Feiyu Shen, Zhijun Liu, Zheng Liang, Xie Chen, Shuai Wang, Hui Zhang, Kai Yu

CoRR, 2023

Blank-regularized CTC for Frame Skipping in Neural Transducer.

Yifan Yang, Xiaoyu Yang, Liyong Guo, Zengwei Yao, Wei Kang, Fangjun Kuang, Long Lin, Xie Chen, Daniel Povey

CoRR, 2023

DAE-Talker: High Fidelity Speech-Driven Talking Face Generation with Diffusion Autoencoder.

Chenpeng Du, Qi Chen, Tianyu He, Xu Tan, Xie Chen, Kai Yu, Sheng Zhao, Jiang Bian

Proceedings of the 31st ACM International Conference on Multimedia, 2023

Emodiff: Intensity Controllable Emotional Text-to-Speech with Soft-Label Guidance.

Yiwei Guo, Chenpeng Du, Xie Chen, Kai Yu

Proceedings of the IEEE International Conference on Acoustics, 2023

Factorized AED: Factorized Attention-Based Encoder-Decoder for Text-Only Domain Adaptive ASR.

Xun Gong, Wei Wang, Hang Shao, Xie Chen, Yanmin Qian

Proceedings of the IEEE International Conference on Acoustics, 2023

LongFNT: Long-Form Speech Recognition with Factorized Neural Transducer.

Xun Gong, Yu Wu, Jinyu Li, Shujie Liu, Rui Zhao, Xie Chen, Yanmin Qian

Proceedings of the IEEE International Conference on Acoustics, 2023

Front-End Adapter: Adapting Front-End Input of Speech Based Self-Supervised Learning for Speech Recognition.

Xie Chen, Ziyang Ma, Changli Tang, Yujin Wang, Zhisheng Zheng

Proceedings of the IEEE International Conference on Acoustics, 2023

Improving Few-Shot Learning for Talking Face System with TTS Data Augmentation.

Qi Chen, Ziyang Ma, Tao Liu, Xu Tan, Qu Lu, Kai Yu, Xie Chen

Proceedings of the IEEE International Conference on Acoustics, 2023

Fast-Hubert: an Efficient Training Framework for Self-Supervised Speech Representation Learning.

Guanrou Yang, Ziyang Ma, Zhisheng Zheng, Yakun Song, Zhikang Niu, Xie Chen

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

2022

Exploring Effective Fusion Algorithms for Speech Based Self-Supervised Learning Models.

Changli Tang, Yujin Wang, Xie Chen, Wei-Qiang Zhang

CoRR, 2022

MT4SSL: Boosting Self-Supervised Speech Representation Learning by Integrating Multiple Targets.

Ziyang Ma, Zhisheng Zheng, Changli Tang, Yujin Wang, Xie Chen

CoRR, 2022

Exploring Effective Distillation of Self-Supervised Speech Models for Automatic Speech Recognition.

Yujin Wang, Changli Tang, Ziyang Ma, Zhisheng Zheng, Xie Chen, Wei-Qiang Zhang

CoRR, 2022

Internal Language Model Adaptation with Text-Only Data for End-to-End Speech Recognition.

Zhong Meng, Yashesh Gaur, Naoyuki Kanda, Jinyu Li, Xie Chen, Yu Wu, Yifan Gong

Proceedings of the Interspeech 2022, 2022

VQTTS: High-Fidelity Text-to-Speech Synthesis with Self-Supervised VQ Acoustic Feature.

Chenpeng Du, Yiwei Guo, Xie Chen, Kai Yu

Proceedings of the Interspeech 2022, 2022

Factorized Neural Transducer for Efficient Language Model Adaptation.

Xie Chen, Zhong Meng, Sarangarajan Parthasarathy, Jinyu Li

Proceedings of the IEEE International Conference on Acoustics, 2022

2021

Internal Language Model Estimation for Domain-Adaptive End-to-End Speech Recognition.

Zhong Meng, Sarangarajan Parthasarathy, Eric Sun, Yashesh Gaur, Naoyuki Kanda, Liang Lu, Xie Chen, Rui Zhao, Jinyu Li, Yifan Gong

Proceedings of the IEEE Spoken Language Technology Workshop, 2021

Minimum Word Error Rate Training with Language Model Fusion for End-to-End Speech Recognition.

Zhong Meng, Yu Wu, Naoyuki Kanda, Liang Lu, Xie Chen, Guoli Ye, Eric Sun, Jinyu Li, Yifan Gong

Proceedings of the Interspeech 2021, 22nd Annual Conference of the International Speech Communication Association, Brno, Czechia, 30 August, 2021

Improving RNN-T for Domain Scaling Using Semi-Supervised Training with Neural TTS.

Yan Deng, Rui Zhao, Zhong Meng, Xie Chen, Bing Liu, Jinyu Li, Yifan Gong, Lei He

Proceedings of the Interspeech 2021, 22nd Annual Conference of the International Speech Communication Association, Brno, Czechia, 30 August, 2021

Memory-Efficient Pipeline-Parallel DNN Training.

Deepak Narayanan, Amar Phanishayee, Kaiyu Shi, Xie Chen, Matei Zaharia

Proceedings of the 38th International Conference on Machine Learning, 2021

Internal Language Model Training for Domain-Adaptive End-To-End Speech Recognition.

Zhong Meng, Naoyuki Kanda, Yashesh Gaur, Sarangarajan Parthasarathy, Eric Sun, Liang Lu, Xie Chen, Jinyu Li, Yifan Gong

Proceedings of the IEEE International Conference on Acoustics, 2021

Developing Real-Time Streaming Transformer Transducer for Speech Recognition on Large-Scale Dataset.

Xie Chen, Yu Wu, Zhenghao Wang, Shujie Liu, Jinyu Li

Proceedings of the IEEE International Conference on Acoustics, 2021

2020

LSTM-LM with Long-Term History for First-Pass Decoding in Conversational Speech Recognition.

Xie Chen, Sarangarajan Parthasarathy, William Gale, Shuangyu Chang, Michael Zeng

CoRR, 2020

Low-bit Quantization of Recurrent Neural Network Language Models Using Alternating Direction Methods of Multipliers.

Junhao Xu, Xie Chen, Shoukang Hu, Jianwei Yu, Xunying Liu, Helen Meng

Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

2019

Exploiting Future Word Contexts in Neural Network Language Models for Speech Recognition.

Xie Chen, Xunying Liu, Yu Wang, Anton Ragni, Jeremy Heng Meng Wong, Mark J. F. Gales

IEEE ACM Trans. Audio Speech Lang. Process., 2019

Long-span language modeling for speech recognition.

Sarangarajan Parthasarathy, William Gale, Xie Chen, George Polovets, Shuangyu Chang

CoRR, 2019

Recurrent Neural Network Language Model Training Using Natural Gradient.

Jianwei Yu, Max W. Y. Lam, Xie Chen, Shoukang Hu, Songxiang Liu, Xixin Wu, Xunying Liu, Helen Meng

Proceedings of the IEEE International Conference on Acoustics, 2019

Gaussian Process Lstm Recurrent Neural Network Language Models for Speech Recognition.

Max W. Y. Lam, Xie Chen, Shoukang Hu, Jianwei Yu, Xunying Liu, Helen Meng

Proceedings of the IEEE International Conference on Acoustics, 2019

Investigation of Sampling Techniques for Maximum Entropy Language Modeling Training.

Xie Chen, Jun Zhang, Tasos Anastasakos, Fil Alleva

Proceedings of the IEEE International Conference on Acoustics, 2019

2018

Active Memory Networks for Language Modeling.

Oscar Chen, Anton Ragni, Mark J. F. Gales, Xie Chen

Proceedings of the Interspeech 2018, 2018

Neural Network Language Modeling with Letter-Based Features and Importance Sampling.

Hainan Xu, Ke Li, Yiming Wang, Jian Wang, Shiyin Kang, Xie Chen, Daniel Povey, Sanjeev Khudanpur

Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

Phonetic and Graphemic Systems for Multi-Genre Broadcast Transcription.

Yu Wang, Xie Chen, Mark J. F. Gales, Anton Ragni, Jeremy Heng Meng Wong

Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

Limited-Memory BFGS Optimization of Recurrent Neural Network Language Models for Speech Recognition.

Xunying Liu, Shansong Liu, Jinze Sha, Jianwei Yu, Zhiyuan Xu, Xie Chen, Helen Meng

Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

The Effect of Adding Authorship Knowledge in Automated Text Scoring.

Meng Zhang, Xie Chen, Ronan Cummins, Øistein E. Andersen, Ted Briscoe

Proceedings of the Thirteenth Workshop on Innovative Use of NLP for Building Educational Applications@NAACL-HLT 2018, 2018

2017

Future Word Contexts in Neural Network Language Models.

Xie Chen, Xunying Liu, Anton Ragni, Yu Wang, Mark J. F. Gales

CoRR, 2017

Investigating Bidirectional Recurrent Neural Network Language Models for Speech Recognition.

Xie Chen, Anton Ragni, Xunying Liu, Mark J. F. Gales

Proceedings of the Interspeech 2017, 2017

Exploiting the Tibetan Radicals in Recurrent Neural Network for Low-Resource Language Models.

Tongtong Shen, Longbiao Wang, Xie Chen, Kuntharrgyal Khysru, Jianwu Dang

Proceedings of the Neural Information Processing - 24th International Conference, 2017

Recurrent neural network language models for keyword search.

Xie Chen, Anton Ragni, J. Vasilakes, Xunying Liu, Kate Knill, Mark J. F. Gales

Proceedings of the 2017 IEEE International Conference on Acoustics, 2017

Future word contexts in neural network language models.

Xie Chen, X. Liu, Anton Ragni, Y. Wang, Mark J. F. Gales

Proceedings of the 2017 IEEE Automatic Speech Recognition and Understanding Workshop, 2017

2016

Two Efficient Lattice Rescoring Methods Using Recurrent Neural Network Language Models.

Xunying Liu, Xie Chen, Yongqiang Wang, Mark J. F. Gales, Philip C. Woodland

IEEE ACM Trans. Audio Speech Lang. Process., 2016

Efficient Training and Evaluation of Recurrent Neural Network Language Models for Automatic Speech Recognition.

Xie Chen, Xunying Liu, Yongqiang Wang, Mark J. F. Gales, Philip C. Woodland

IEEE ACM Trans. Audio Speech Lang. Process., 2016

Multi-Language Neural Network Language Models.

Anton Ragni, Edgar Dakin, Xie Chen, Mark J. F. Gales, Kate M. Knill

Proceedings of the Interspeech 2016, 2016

CUED-RNNLM - An open-source toolkit for efficient training and evaluation of recurrent neural network language models.

Xie Chen, Xunying Liu, Y. Qian, Mark J. F. Gales, Philip C. Woodland

Proceedings of the 2016 IEEE International Conference on Acoustics, 2016

2015

Recurrent neural network language model adaptation for multi-genre broadcast speech recognition.

Xie Chen, T. Tan, Xunying Liu, Pierre Lanchantin, M. Wan, Mark J. F. Gales, Philip C. Woodland

Proceedings of the INTERSPEECH 2015, 2015

Paraphrastic recurrent neural network language models.

Xunying Liu, Xie Chen, Mark J. F. Gales, Philip C. Woodland

Proceedings of the 2015 IEEE International Conference on Acoustics, 2015

Robust excitation-based features for Automatic Speech Recognition.

Thomas Drugman, Yannis Stylianou, Langzhou Chen, Xie Chen, Mark J. F. Gales

Proceedings of the 2015 IEEE International Conference on Acoustics, 2015

Recurrent neural network language model training with noise contrastive estimation for speech recognition.

Xie Chen, Xunying Liu, Mark J. F. Gales, Philip C. Woodland

Proceedings of the 2015 IEEE International Conference on Acoustics, 2015

Improving the training and evaluation efficiency of recurrent neural network language models.

Xie Chen, Xunying Liu, Mark J. F. Gales, Philip C. Woodland

Proceedings of the 2015 IEEE International Conference on Acoustics, 2015

Investigation of back-off based interpolation between recurrent neural network and n-gram language models.

Xie Chen, Xunying Liu, Mark J. F. Gales, Philip C. Woodland

Proceedings of the 2015 IEEE Workshop on Automatic Speech Recognition and Understanding, 2015

2014

Efficient GPU-based training of recurrent neural network language models using spliced sentence bunch.

Xie Chen, Yongqiang Wang, Xunying Liu, Mark J. F. Gales, Philip C. Woodland

Proceedings of the INTERSPEECH 2014, 2014

An initial investigation of long-term adaptation for meeting transcription.

Xie Chen, Mark J. F. Gales, Kate M. Knill, Catherine Breslin, Langzhou Chen, K. K. Chin, Vincent Wan

Proceedings of the INTERSPEECH 2014, 2014

Impact of single-microphone dereverberation on DNN-based meeting transcription systems.

Takuya Yoshioka, Xie Chen, Mark J. F. Gales

Proceedings of the IEEE International Conference on Acoustics, 2014

Efficient lattice rescoring using recurrent neural network language models.

Xunying Liu, Yongqiang Wang, Xie Chen, Mark J. F. Gales, Philip C. Woodland

Proceedings of the IEEE International Conference on Acoustics, 2014

2012

Pipelined Back-Propagation for Context-Dependent Deep Neural Networks.

Xie Chen, Adam Eversole, Gang Li, Dong Yu, Frank Seide

Proceedings of the INTERSPEECH 2012, 2012

2011

Feature engineering in Context-Dependent Deep Neural Networks for conversational speech transcription.

Frank Seide, Gang Li, Xie Chen, Dong Yu

Proceedings of the 2011 IEEE Workshop on Automatic Speech Recognition & Understanding, 2011