Li-Rong Dai

ORCID

Publication Activity (10 Years)

Years Active: 2004-2024
Publications (10 Years): 169

Top Venues

ICASSP

INTERSPEECH

CoRR

IEEE ACM Trans. Audio Speech Lang. Process.

Publications

Li-Rong Dai, Luqi Gong, Zhulin An, Yongjun Xu, Boyu Diao
Sketch-fusion: A gradient compression method with multi-layer fusion for communication-efficient distributed training. J. Parallel Distributed Comput. 185 (2024)
Jiajia Wu, Anni Li, Kun Zhao, Zhengyan Yang, Bing Yin, Cong Liu, Li-Rong Dai
A Multimodal Text Block Segmentation Framework for Photo Translation. ICIG (3) (2023)
Jie Zhang, Rui Tao, Li-Rong Dai
A Speech Distortion Weighted Single-Channel Wiener Filter Based STFT-Domain Noise Reduction. SSP (2023)
Qiu-Shi Zhu, Jie Zhang, Zi-Qiang Zhang, Li-Rong Dai
A Joint Speech Enhancement and Self-Supervised Representation Learning Framework for Noise-Robust Speech Recognition. IEEE ACM Trans. Audio Speech Lang. Process. 31 (2023)
Kang Li, Yan Song, Li-Rong Dai, Ian McLoughlin, Xin Fang, Lin Liu
AST-SED: An Effective Sound Event Detection Method Based on Audio Spectrogram Transformer. ICASSP (2023)
Jiajia Wu, Kun Zhao, Zhengyan Yang, Bing Yin, Cong Liu, Li-Rong Dai
End-to-End Multilingual Text Recognition Based on Byte Modeling. ICIG (3) (2023)
Jie Zhang, Rui Tao, Jun Du, Li-Rong Dai
SDW-SWF: Speech Distortion Weighted Single-Channel Wiener Filter for Noise Reduction. IEEE ACM Trans. Audio Speech Lang. Process. 31 (2023)
Haitao Xu, Liangfa Wei, Jie Zhang, Jianming Yang, Yannan Wang, Tian Gao, Xin Fang, Li-Rong Dai
A Multi-Scale Feature Aggregation Based Lightweight Network for Audio-Visual Speech Enhancement. ICASSP (2023)
Xiao-Min Zeng, Yan Song, Zhu Zhuo, Yu Zhou, Yu-Hong Li, Hui Xue, Li-Rong Dai, Ian McLoughlin
Joint Generative-Contrastive Representation Learning for Anomalous Sound Detection. ICASSP (2023)
Jinshui Hu, Chenyu Liu, Qiandong Yan, Xuyang Zhu, Jiajia Wu, Jun Du, Li-Rong Dai
Vision-Language Adaptive Mutual Decoder for OOV-STR. ICIG (2) (2023)
Hang-Rui Hu, Yan Song, Jian-Tao Zhang, Li-Rong Dai, Ian McLoughlin, Zhu Zhuo, Yu Zhou, Yu-Hong Li, Hui Xue
Stargan-vc Based Cross-Domain Data Augmentation for Speaker Verification. ICASSP (2023)
Jie Zhang, Rui Tao, Jun Du, Li-Rong Dai
Energy-Efficient Sparsity-Driven Speech Enhancement in Wireless Acoustic Sensor Networks. IEEE ACM Trans. Audio Speech Lang. Process. 31 (2023)
Qiu-Shi Zhu, Long Zhou, Jie Zhang, Shujie Liu, Yu-Chen Hu, Li-Rong Dai
Robust Data2VEC: Noise-Robust Speech Representation Learning for ASR by Combining Regression and Improved Contrastive Learning. ICASSP (2023)
Qiu-Shi Zhu, Jie Zhang, Zi-qiang Zhang, Ming-Hui Wu, Xin Fang, Li-Rong Dai
A Noise-Robust Self-Supervised Pre-Training Model Based Speech Representation Learning for Automatic Speech Recognition. ICASSP (2022)
Jie Zhang, Guanghui Zhang, Li-Rong Dai
Frequency-Invariant Sensor Selection for MVDR Beamforming in Wireless Acoustic Sensor Networks. IEEE Trans. Wirel. Commun. 21 (12) (2022)
Yuxuan Xi, Yan Song, Li-Rong Dai, Ian McLoughlin, Lin Liu
Frontend Attributes Disentanglement for Speech Emotion Recognition. ICASSP (2022)
Ao-Ran Gan, Jie Zhang, Ming-Hui Wu, Xin Fang, Li-Rong Dai
An Experimental Comparison between Low-Resource Semi-Supervised and High-Resource Supervised Automatic Speech Recognition Models. ICME (2022)
Qiu-Shi Zhu, Jie Zhang, Zi-qiang Zhang, Li-Rong Dai
Joint Training of Speech Enhancement and Self-supervised Model for Noise-robust ASR. CoRR (2022)
Ye-Qian Du, Jie Zhang, Qiu-Shi Zhu, Li-Rong Dai, Ming-Hui Wu, Xin Fang, Zhou-Wang Yang
A Complementary Joint Training Approach Using Unpaired Speech and Text for Low-Resource Automatic Speech Recognition. CoRR (2022)
Mohan Shi, Jie Zhang, Zhihao Du, Fan Yu, Shiliang Zhang, Li-Rong Dai
A Comparative Study on multichannel Speaker-attributed automatic speech recognition in Multi-party Meetings. CoRR (2022)
Zi-qiang Zhang, Jie Zhang, Jian-Shu Zhang, Ming-Hui Wu, Xin Fang, Li-Rong Dai
Learning Contextually Fused Audio-visual Representations for Audio-visual Speech Recognition. CoRR (2022)
Xing-Yu Chen, Qiu-Shi Zhu, Jie Zhang, Li-Rong Dai
Supervised and Self-Supervised Pretraining Based Covid-19 Detection Using Acoustic Breathing/Cough/Speech Signals. ICASSP (2022)
Xing-Yu Chen, Jie Zhang, Li-Rong Dai
Reference Microphone Selection and Low-Rank Approximation Based Multichannel Wiener Filter with Application to Speech Recognition. ICASSP (2022)
Han Chen, Yan Song, Li-Rong Dai, Ian McLoughlin, Lin Liu
Self-Supervised Representation Learning for Unsupervised Anomalous Sound Detection Under Domain Shift. ICASSP (2022)
Xing-Yu Chen, Qiu-Shi Zhu, Jie Zhang, Li-Rong Dai
Supervised and Self-supervised Pretraining Based COVID-19 Detection Using Acoustic Breathing/Cough/Speech Signals. CoRR (2022)
Hang-Rui Hu, Yan Song, Ying Liu, Li-Rong Dai, Ian McLoughlin, Lin Liu
Domain Robust Deep Embedding Learning for Speaker Recognition. ICASSP (2022)
Hang-Rui Hu, Yan Song, Li-Rong Dai, Ian McLoughlin, Lin Liu
Class-Aware Distribution Alignment based Unsupervised Domain Adaptation for Speaker Verification. INTERSPEECH (2022)
Hai-tao Xu, Jie Zhang, Li-Rong Dai
Differential Time-frequency Log-mel Spectrogram Features for Vision Transformer Based Infant Cry Recognition. INTERSPEECH (2022)
Zi-qiang Zhang, Yan Song, Ming-Hui Wu, Xin Fang, Ian McLoughlin, Li-Rong Dai
Cross-Lingual Self-training to Learn Multilingual Representation for Low-Resource Speech Recognition. Circuits Syst. Signal Process. 41 (12) (2022)
Qiu-Shi Zhu, Jie Zhang, Zi-qiang Zhang, Ming-Hui Wu, Xin Fang, Li-Rong Dai
A Noise-Robust Self-supervised Pre-training Model Based Speech Representation Learning for Automatic Speech Recognition. CoRR (2022)
Hang Chen, Jun Du, Yu Hu, Li-Rong Dai, Bao-Cai Yin, Chin-Hui Lee
Automatic Lip-Reading with Hierarchical Pyramidal Convolution and Self-Attention for Image Sequences with No Word Boundaries. Interspeech (2021)
Xiao Zhou, Zhen-Hua Ling, Li-Rong Dai
UnitNet: A Sequence-to-Sequence Acoustic Model for Concatenative Speech Synthesis. IEEE ACM Trans. Audio Speech Lang. Process. 29 (2021)
Qiu-Shi Zhu, Jie Zhang, Ming-Hui Wu, Xin Fang, Li-Rong Dai
An Improved Wav2Vec 2.0 Pre-Training Approach Using Enhanced Local Dependency Modeling for Speech Recognition. Interspeech (2021)
Xu Zheng, Yan Song, Li-Rong Dai, Ian McLoughlin, Lin Liu
An Effective Mutual Mean Teaching Based Domain Adaptation Method for Sound Event Detection. Interspeech (2021)
Xiao Zhou, Zhen-Hua Ling, Li-Rong Dai
UnitNet-Based Hybrid Speech Synthesis. Interspeech (2021)
Ying Liu, Yan Song, Ian McLoughlin, Lin Liu, Li-Rong Dai
An Effective Deep Embedding Learning Method Based on Dense-Residual Networks for Speaker Verification. ICASSP (2021)
Jie Zhang, Huawei Chen, Li-Rong Dai, Richard Christian Hendriks
A Study on Reference Microphone Selection for Multi-Microphone Speech Enhancement. IEEE ACM Trans. Audio Speech Lang. Process. 29 (2021)
Zi-qiang Zhang, Yan Song, Ming-Hui Wu, Xin Fang, Li-Rong Dai
XLST: Cross-lingual Self-training to Learn Multilingual Representation for Low Resource Speech Recognition. CoRR (2021)
Hang Chen, Jun Du, Yu Hu, Li-Rong Dai, Bao-Cai Yin, Chin-Hui Lee
Correlating subword articulation with lip shapes for embedding aware audio-visual speech enhancement. Neural Networks 143 (2021)
Xu Zheng, Yan Song, Ian McLoughlin, Lin Liu, Li-Rong Dai
An Improved Mean Teacher Based Method for Large Scale Weakly Labeled Semi-Supervised Sound Event Detection. ICASSP (2021)
Jian Tang, Jie Zhang, Yan Song, Ian McLoughlin, Li-Rong Dai
Multi-Granularity Sequence Alignment Mapping for Encoder-Decoder Based End-to-End ASR. IEEE ACM Trans. Audio Speech Lang. Process. 29 (2021)
Hui Wang, Lin Liu, Yan Song, Lei Fang, Ian McLoughlin, Li-Rong Dai
A Weight Moving Average Based Alternate Decoupled Learning Algorithm for Long-Tailed Language Identification. Interspeech (2021)
Jie Zhang, Jun Du, Li-Rong Dai
Sensor Selection for Relative Acoustic Transfer Function Steered Linearly-Constrained Beamformers. IEEE ACM Trans. Audio Speech Lang. Process. 29 (2021)
Xiao Zhou, Zhen-Hua Ling, Li-Rong Dai
Learning and Modeling Unit Embeddings Using Deep Neural Networks for Unit-Selection-Based Mandarin Speech Synthesis. ACM Trans. Asian Low Resour. Lang. Inf. Process. 19 (3) (2020)
Hang Chen, Jun Du, Yu Hu, Li-Rong Dai, Bao-Cai Yin, Chin-Hui Lee
Correlating Subword Articulation with Lip Shapes for Embedding Aware Audio-Visual Speech Enhancement. CoRR (2020)
Jing-Xuan Zhang, Zhen-Hua Ling, Li-Rong Dai
Recognition-Synthesis Based Non-Parallel Voice Conversion with Adversarial Learning. CoRR (2020)
Jing-Xuan Zhang, Li-Juan Liu, Yan-Nian Chen, Ya-Jun Hu, Yuan Jiang, Zhen-Hua Ling, Li-Rong Dai
Voice Conversion by Cascading Automatic Speech Recognition and Text-to-Speech Synthesis with Prosody Transfer. CoRR (2020)
Jie Yan, Yan Song, Li-Rong Dai, Ian McLoughlin
Task-Aware Mean Teacher Method for Large Scale Weakly Labeled Semi-Supervised Sound Event Detection. ICASSP (2020)
Jing-Xuan Zhang, Zhen-Hua Ling, Li-Rong Dai
Non-Parallel Sequence-to-Sequence Voice Conversion With Disentangled Linguistic and Speaker Representations. IEEE ACM Trans. Audio Speech Lang. Process. 28 (2020)
Zi-qiang Zhang, Yan Song, Jian-Shu Zhang, Ian McLoughlin, Li-Rong Dai
Semi-Supervised End-to-End ASR via Teacher-Student Learning with Conditional Posterior Distribution. INTERSPEECH (2020)
Junfeng Hou, Wu Guo, Yan Song, Li-Rong Dai
Segment boundary detection directed attention for online end-to-end speech recognition. EURASIP J. Audio Speech Music. Process. 2020 (1) (2020)
Hang Chen, Jun Du, Yu Hu, Li-Rong Dai, Chin-Hui Lee, Bao-Cai Yin
Lip-reading with Hierarchical Pyramidal Convolution and Self-Attention. CoRR (2020)
Hui Wang, Yan Song, Zengxi Li, Ian McLoughlin, Li-Rong Dai
An Online Speaker-aware Speech Separation Approach Based on Time-domain Representation. ICASSP (2020)
Ying Liu, Yan Song, Yiheng Jiang, Ian McLoughlin, Lin Liu, Li-Rong Dai
An Effective Speaker Recognition Method Based on Joint Identification and Verification Supervisions. INTERSPEECH (2020)
Xu Zheng, Yan Song, Jie Yan, Li-Rong Dai, Ian McLoughlin, Lin Liu
An Effective Perturbation Based Semi-Supervised Learning Method for Sound Event Detection. INTERSPEECH (2020)
Jing-Xuan Zhang, Zhen-Hua Ling, Li-Rong Dai
Recognition-Synthesis Based Non-Parallel Voice Conversion with Adversarial Learning. INTERSPEECH (2020)
Xiao Zhou, Zhen-Hua Ling, Li-Rong Dai
Extracting Unit Embeddings Using Sequence-To-Sequence Acoustic Models for Unit Selection Speech Synthesis. ICASSP (2020)
Jian Tang, Junfeng Hou, Yan Song, Li-Rong Dai, Ian McLoughlin
Effective Exploitation of Posterior Information for Attention-Based Speech Recognition. IEEE Access 8 (2020)
Peng-Fei Wu, Zhen-Hua Ling, Li-Juan Liu, Yuan Jiang, Hong-Chuan Wu, Li-Rong Dai
End-to-End Emotional Speech Synthesis Using Style Tokens and Semi-Supervised Training. CoRR (2019)
Yuan-Hao Yi, Yang Ai, Zhen-Hua Ling, Li-Rong Dai
Singing Voice Synthesis Using Deep Autoregressive Neural Networks for Acoustic Modeling. CoRR (2019)
Zhifu Gao, Yan Song, Ian McLoughlin, Pengcheng Li, Yiheng Jiang, Li-Rong Dai
Improving Aggregation and Loss Function for Better Embedding Learning in End-to-End Speaker Verification System. INTERSPEECH (2019)
Jing-Xuan Zhang, Zhen-Hua Ling, Yuan Jiang, Li-Juan Liu, Chen Liang, Li-Rong Dai
Improving Sequence-to-sequence Voice Conversion by Adding Text-supervision. ICASSP (2019)
Jing-Xuan Zhang, Zhen-Hua Ling, Li-Rong Dai
Non-Parallel Sequence-to-Sequence Voice Conversion with Disentangled Linguistic and Speaker Representations. CoRR (2019)
Lanhua You, Wu Guo, Li-Rong Dai, Jun Du
Multi-Task Learning with High-Order Statistics for x-Vector Based Text-Independent Speaker Verification. INTERSPEECH (2019)
Yuan-Hao Yi, Yang Ai, Zhen-Hua Ling, Li-Rong Dai
Singing Voice Synthesis Using Deep Autoregressive Neural Networks for Acoustic Modeling. INTERSPEECH (2019)
Zengxi Li, Yan Song, Li-Rong Dai, Ian McLoughlin
Listening and Grouping: An Online Autoregressive Approach for Monaural Speech Separation. IEEE ACM Trans. Audio Speech Lang. Process. 27 (4) (2019)
Lanhua You, Wu Guo, Li-Rong Dai, Jun Du
Deep Neural Network Embeddings with Gating Mechanisms for Text-Independent Speaker Verification. INTERSPEECH (2019)
Jing-Xuan Zhang, Zhen-Hua Ling, Li-Juan Liu, Yuan Jiang, Li-Rong Dai
Sequence-to-Sequence Acoustic Modeling for Voice Conversion. IEEE ACM Trans. Audio Speech Lang. Process. 27 (3) (2019)
Zhi Chen, Wu Guo, Li-Rong Dai, Zhen-Hua Ling, Jun Du
Neural Text Clustering with Document-Level Attention Based on Dynamic Soft Labels. INTERSPEECH (2019)
Yiheng Jiang, Yan Song, Ian McLoughlin, Zhifu Gao, Li-Rong Dai
An Effective Deep Embedding Learning Architecture for Speaker Verification. INTERSPEECH (2019)
Jie Yan, Yan Song, Wu Guo, Li-Rong Dai, Ian McLoughlin, Liang Chen
A Region Based Attention Method for Weakly Supervised Sound Event Detection and Classification. ICASSP (2019)
Jia-Xiang Chen, Zhen-Hua Ling, Li-Rong Dai
A Chinese Dataset for Identifying Speakers in Novels. INTERSPEECH (2019)
Li-Juan Liu, Zhen-Hua Ling, Yuan Jiang, Ming Zhou, Li-Rong Dai
WaveNet Vocoder with Limited Training Data for Voice Conversion. INTERSPEECH (2018)
Jing-Xuan Zhang, Zhen-Hua Ling, Yuan Jiang, Li-Juan Liu, Chen Liang, Li-Rong Dai
Improving Sequence-to-Sequence Acoustic Modeling by Adding Text-Supervision. CoRR (2018)
Zhen-Hua Ling, Yang Ai, Yu Gu, Li-Rong Dai
Waveform Modeling and Generation Using Hierarchical Recurrent Neural Networks for Speech Bandwidth Extension. CoRR (2018)
Zheng-Chen Liu, Zhen-Hua Ling, Li-Rong Dai
Articulatory-to-acoustic conversion using BLSTM-RNNs with augmented input representation. Speech Commun. 99 (2018)
Qing Wang, Jun Du, Li Chai, Li-Rong Dai, Chin-Hui Lee
A Maximum Likelihood Approach to Masking-based Speech Enhancement Using Deep Neural Network. ISCSLP (2018)
Ma Jin, Yan Song, Ian McLoughlin, Li-Rong Dai
LID-Senones and Their Statistics for Language Identification. IEEE ACM Trans. Audio Speech Lang. Process. 26 (1) (2018)
Jing-Xuan Zhang, Zhen-Hua Ling, Li-Rong Dai
Forward Attention in Sequence- To-Sequence Acoustic Modeling for Speech Synthesis. ICASSP (2018)
Jing-Xuan Zhang, Zhen-Hua Ling, Li-Juan Liu, Yuan Jiang, Li-Rong Dai
Sequence-to-Sequence Acoustic Modeling for Voice Conversion. CoRR (2018)
Junhua Liu, Zhen-Hua Ling, Si Wei, Guoping Hu, Li-Rong Dai
Improving the Decoding Efficiency of Deep Neural Network Acoustic Models by Cluster-Based Senone Selection. J. Signal Process. Syst. 90 (7) (2018)
Xiao Zhou, Zhen-Hua Ling, Zhi-Ping Zhou, Li-Rong Dai
Learning and Modeling Unit Embeddings for Improving HMM-based Unit Selection Speech Synthesis. INTERSPEECH (2018)
Zhen-Hua Ling, Yang Ai, Yu Gu, Li-Rong Dai
Waveform Modeling and Generation Using Hierarchical Recurrent Neural Networks for Speech Bandwidth Extension. IEEE ACM Trans. Audio Speech Lang. Process. 26 (5) (2018)
Zheng-Chen Liu, Zhen-Hua Ling, Li-Rong Dai
Statistical Parametric Speech Synthesis Using Generalized Distillation Framework. IEEE Signal Process. Lett. 25 (5) (2018)
Zengxi Li, Yan Song, Li-Rong Dai, Ian McLoughlin
Source-Aware Context Network for Single-Channel Multi-Speaker Speech Separation. ICASSP (2018)
Qing Wang, Jun Du, Li-Rong Dai, Chin-Hui Lee
A Multiobjective Learning and Ensembling Approach to High-Performance Speech Enhancement With Compact Neural Network Architectures. IEEE ACM Trans. Audio Speech Lang. Process. 26 (7) (2018)
Jing-Xuan Zhang, Zhen-Hua Ling, Li-Rong Dai
Forward Attention in Sequence-to-sequence Acoustic Modelling for Speech Synthesis. CoRR (2018)
Zengxi Li, Li-Rong Dai, Yan Song, Ian McLoughlin
A Conditional Generative Model for Speech Enhancement. Circuits Syst. Signal Process. 37 (11) (2018)
Tian Gao, Jun Du, Li-Rong Dai, Chin-Hui Lee
Densely Connected Progressive Learning for LSTM-Based Speech Enhancement. ICASSP (2018)
Yannan Wang, Jun Du, Li-Rong Dai, Chin-Hui Lee
A Gender Mixture Detection Approach to Unsupervised Single-Channel Speech Separation Based on Deep Neural Networks. IEEE ACM Trans. Audio Speech Lang. Process. 25 (7) (2017)
Jianshu Zhang, Jun Du, Li-Rong Dai
A GRU-based Encoder-Decoder Approach with Attention for Online Handwritten Mathematical Expression Recognition. CoRR (2017)
Yonghong Tian, Xilin Chen, Hongkai Xiong, Hong-Liang Li, Li-Rong Dai, Jing Chen, Junliang Xing, Jing Chen, Xihong Wu, Weiming Hu, Yu Hu, Tiejun Huang, Wen Gao
Towards human-like and transhuman perception in AI 2.0: a review. Frontiers Inf. Technol. Electron. Eng. 18 (1) (2017)
Ya-Jun Hu, Zhen-Hua Ling, Li-Rong Dai
Extracting structural spectral features using what-where auto-encoders for statistical parametric speech synthesis. ICASSP (2017)
Ya-Jun Hu, Li-Juan Liu, Chuang Ding, Zhen-Hua Ling, Li-Rong Dai
The USTC system for blizzard machine learning challenge 2017-ES2. ASRU (2017)
Jianshu Zhang, Jun Du, Shiliang Zhang, Dan Liu, Yulong Hu, Jin-Shui Hu, Si Wei, Li-Rong Dai
Watch, attend and parse: An end-to-end neural network based approach to handwritten mathematical expression recognition. Pattern Recognit. 71 (2017)
Yannan Wang, Jun Du, Li-Rong Dai, Chin-Hui Lee
A Maximum Likelihood Approach to Deep Neural Network Based Nonlinear Spectral Mapping for Single-Channel Speech Separation. INTERSPEECH (2017)
Junfeng Hou, Shiliang Zhang, Li-Rong Dai, Hui Jiang
Feedforward sequential memory networks based encoder-decoder model for machine translation. APSIPA (2017)
Jianshu Zhang, Yixing Zhu, Jun Du, Li-Rong Dai
RAN: Radical analysis networks for zero-shot learning of Chinese characters. CoRR (2017)
Tian Gao, Jun Du, Li-Rong Dai, Chin-Hui Lee
A unified DNN approach to speaker-dependent simultaneous speech enhancement and speech separation in low SNR environments. Speech Commun. 95 (2017)
Junbei Zhang, Xiao-Dan Zhu, Qian Chen, Li-Rong Dai, Si Wei, Hui Jiang
Exploring Question Understanding and Adaptation in Neural-Network-Based Question Answering. CoRR (2017)

Li-Rong Dai.css-eqlu8i{font-size:small;padding-left:4px;}

Publication Activity (10 Years)

Top Topics

Top Venues

Li-Rong Dai