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ORCIDLi-Rong Dai 0001
Lirong Dai 0001
Person information
- affiliation: University of Science and Technology of China, National Engineering Laboratory for Speech and Language Information Processing, Hefei, China
Other persons with the same name
- Li-Rong Dai (aka: Lirong Dai) — disambiguation page
- Li-Rong Dai 0002 (aka: Lirong Dai 0002) — Seattle University, USA (and 1 more)
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2020 – today
- 2024
[j56]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: 104811 (2024)- [c245]Qiushi Zhu, Jie Zhang, Yu Gu, Yuchen Hu, Lirong Dai:
Multichannel AV-wav2vec2: A Framework for Learning Multichannel Multi-Modal Speech Representation. AAAI 2024: 19768-19776 - [i42]Qiushi Zhu, Jie Zhang, Yu Gu, Yuchen Hu, Lirong Dai:
Multichannel AV-wav2vec2: A Framework for Learning Multichannel Multi-Modal Speech Representation. CoRR abs/2401.03468 (2024) - [i41]Shihao Chen, Liping Chen, Jie Zhang, Kong-Aik Lee, Zhenhua Ling, Lirong Dai:
Adversarial speech for voice privacy protection from Personalized Speech generation. CoRR abs/2401.11857 (2024) - 2023
- [j55]Hongyu Yang, Yiyuan Xie, Tingting Song, Ye Su, Bocheng Liu, Junxiong Chai, Xiao Jiang, Lirong Dai, Jing Pang:
Universal wavelength reuse mechanism for optical networks-on-chip based on a cooperative game. J. Opt. Commun. Netw. 15(6): 367-380 (2023) - [j54]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: 215-228 (2023) - [j53]Qiu-Shi Zhu, Jie Zhang, Ziqiang 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: 1927-1939 (2023) - [j52]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: 3176-3189 (2023) - [c244]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: 1-5 - [c243]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: 1-5 - [c242]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: 1-5 - [c241]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: 1-5 - [c240]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: 1-5 - [c239]Shan He, Haonan He, Shuo Yang, Xiaoyan Wu, Pengcheng Xia, Bing Yin, Cong Liu, Lirong Dai, Chang Xu:
Speech4Mesh: Speech-Assisted Monocular 3D Facial Reconstruction for Speech-Driven 3D Facial Animation. ICCV 2023: 14146-14156 - [c238]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: 116-127 - [c237]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: 128-137 - [c236]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: 175-186 - [c235]Jinshui Hu, Hao Wu, Mingjun Chen, Chenyu Liu, Jiajia Wu, Shi Yin, Baocai Yin, Bing Yin, Cong Liu, Jun Du, Lirong Dai:
Handwritten Chemical Structure Image to Structure-Specific Markup Using Random Conditional Guided Decoder. ACM Multimedia 2023: 8114-8124 - [c234]Jie Zhang, Rui Tao, Li-Rong Dai:
A Speech Distortion Weighted Single-Channel Wiener Filter Based STFT-Domain Noise Reduction. SSP 2023: 527-531 - [i40]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. CoRR abs/2303.03689 (2023) - [i39]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. CoRR abs/2305.12111 (2023) - [i38]Qiushi Zhu, Yu Gu, Chao Weng, Yuchen Hu, Lirong Dai, Jie Zhang:
Rep2wav: Noise Robust text-to-speech Using self-supervised representations. CoRR abs/2308.14553 (2023) - 2022
- [j51]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): 6827-6843 (2022) - [j50]Jiajia Wu, Jun Du, Fengren Wang, Chen Yang, Xinzhe Jiang, Jinshui Hu, Bing Yin, Jianshu Zhang, Lirong Dai:
A multimodal attention fusion network with a dynamic vocabulary for TextVQA. Pattern Recognit. 122: 108214 (2022) - [j49]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): 10648-10661 (2022) - [c233]Ziqiang Zhang, Long Zhou, Junyi Ao, Shujie Liu, Lirong Dai, Jinyu Li, Furu Wei:
SpeechUT: Bridging Speech and Text with Hidden-Unit for Encoder-Decoder Based Speech-Text Pre-training. EMNLP 2022: 1663-1676 - [c232]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: 471-475 - [c231]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: 561-565 - [c230]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: 3174-3178 - [c229]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: 4963-4967 - [c228]Hang-Rui Hu, Yan Song, Ying Liu, Li-Rong Dai, Ian McLoughlin, Lin Liu:
Domain Robust Deep Embedding Learning for Speaker Recognition. ICASSP 2022: 7182-7186 - [c227]Yuxuan Xi, Yan Song, Li-Rong Dai, Ian McLoughlin, Lin Liu:
Frontend Attributes Disentanglement for Speech Emotion Recognition. ICASSP 2022: 7712-7716 - [c226]Ziqiang Zhang, Jie Zhang, Jian-Shu Zhang, Ming-Hui Wu, Xin Fang, Lirong Dai:
Learning Contextually Fused Audio-Visual Representations For Audio-Visual Speech Recognition. ICIP 2022: 1346-1350 - [c225]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: 1-6 - [c224]Jiajia Wu, Jinshui Hu, Mingjun Chen, Lirong Dai, Xuejing Niu, Ning Wang:
Structural String Decoder for Handwritten Mathematical Expression Recognition. ICPR 2022: 3246-3251 - [c223]Hai-tao Xu, Jie Zhang, Li-Rong Dai:
Differential Time-frequency Log-mel Spectrogram Features for Vision Transformer Based Infant Cry Recognition. INTERSPEECH 2022: 1963-1967 - [c222]Ye-Qian Du, Jie Zhang, Qiu-Shi Zhu, Lirong Dai, Ming-Hui Wu, Xin Fang, Zhou-Wang Yang:
A Complementary Joint Training Approach Using Unpaired Speech and Text A Complementary Joint Training Approach Using Unpaired Speech and Text. INTERSPEECH 2022: 2613-2617 - [c221]Junyi Ao, Ziqiang Zhang, Long Zhou, Shujie Liu, Haizhou Li, Tom Ko, Lirong Dai, Jinyu Li, Yao Qian, Furu Wei:
Pre-Training Transformer Decoder for End-to-End ASR Model with Unpaired Speech Data. INTERSPEECH 2022: 2658-2662 - [c220]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: 3689-3693 - [i37]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 abs/2201.08930 (2022) - [i36]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 abs/2201.08934 (2022) - [i35]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 abs/2202.07428 (2022) - [i34]Junyi Ao, Ziqiang Zhang, Long Zhou, Shujie Liu, Haizhou Li, Tom Ko, Lirong Dai, Jinyu Li, Yao Qian, Furu Wei:
Pre-Training Transformer Decoder for End-to-End ASR Model with Unpaired Speech Data. CoRR abs/2203.17113 (2022) - [i33]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 abs/2204.02023 (2022) - [i32]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 abs/2205.13293 (2022) - [i31]Ziqiang Zhang, Long Zhou, Junyi Ao, Shujie Liu, Lirong Dai, Jinyu Li, Furu Wei:
SpeechUT: Bridging Speech and Text with Hidden-Unit for Encoder-Decoder Based Speech-Text Pre-training. CoRR abs/2210.03730 (2022) - [i30]Qiu-Shi Zhu, Long Zhou, Jie Zhang, Shujie Liu, Yu-Chen Hu, Lirong Dai:
Robust Data2vec: Noise-robust Speech Representation Learning for ASR by Combining Regression and Improved Contrastive Learning. CoRR abs/2210.15324 (2022) - [i29]Qiu-Shi Zhu, Long Zhou, Ziqiang Zhang, Shujie Liu, Binxing Jiao, Jie Zhang, Lirong Dai, Daxin Jiang, Jinyu Li, Furu Wei:
VATLM: Visual-Audio-Text Pre-Training with Unified Masked Prediction for Speech Representation Learning. CoRR abs/2211.11275 (2022) - 2021
- [j48]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: 171-182 (2021) - [j47]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: 671-683 (2021) - [j46]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: 1220-1232 (2021) - [j45]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: 2643-2655 (2021) - [j44]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: 2816-2828 (2021) - [j43]Jianshu Zhang, Jun Du, Yongxin Yang, Yi-Zhe Song, Lirong Dai:
SRD: A Tree Structure Based Decoder for Online Handwritten Mathematical Expression Recognition. IEEE Trans. Multim. 23: 2471-2480 (2021) - [c219]Jing-Xuan Zhang, Korin Richmond, Zhen-Hua Ling, Lirong Dai:
TaLNet: Voice Reconstruction from Tongue and Lip Articulation with Transfer Learning from Text-to-Speech Synthesis. AAAI 2021: 14402-14410 - [c218]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: 356-360 - [c217]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: 6683-6687 - [c216]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: 556-560 - [c215]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: 1499-1503 - [c214]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: 3001-3005 - [c213]Xiao Zhou, Zhen-Hua Ling, Li-Rong Dai:
UnitNet-Based Hybrid Speech Synthesis. Interspeech 2021: 4119-4123 - [c212]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: 4334-4338 - [c211]Dan Liu, Mengge Du, Xiaoxi Li, Yuchen Hu, Lirong Dai:
The USTC-NELSLIP Systems for Simultaneous Speech Translation Task at IWSLT 2021. IWSLT 2021: 30-38 - [i28]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 abs/2103.08207 (2021) - [i27]Dan Liu, Mengge Du, Xiaoxi Li, Yuchen Hu, Lirong Dai:
The USTC-NELSLIP Systems for Simultaneous Speech Translation Task at IWSLT 2021. CoRR abs/2107.00279 (2021) - 2020
- [j42]Jian Tang, Junfeng Hou, Yan Song, Li-Rong Dai, Ian McLoughlin:
Effective Exploitation of Posterior Information for Attention-Based Speech Recognition. IEEE Access 8: 108988-108999 (2020) - [j41]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): 3 (2020) - [j40]Jianshu Zhang, Jun Du, Lirong Dai:
Radical analysis network for learning hierarchies of Chinese characters. Pattern Recognit. 103: 107305 (2020) - [j39]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): 38:1-38:14 (2020) - [j38]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: 540-552 (2020) - [c210]Liangfa Wei, Jie Zhang, Junfeng Hou, Lirong Dai:
Attentive Fusion Enhanced Audio-Visual Encoding for Transformer Based Robust Speech Recognition. APSIPA 2020: 638-643 - [c209]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: 326-330 - [c208]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: 6379-6383 - [c207]Bin Gu, Wu Guo, Lirong Dai, Jun Du:
An Improved Deep Neural Network for Modeling Speaker Characteristics at Different Temporal Scales. ICASSP 2020: 6814-6818 - [c206]Fenglin Ding, Wu Guo, Lirong Dai, Jun Du:
Attention-Based Gated Scaling Adaptive Acoustic Model for CTC-Based Speech Recognition. ICASSP 2020: 7404-7408 - [c205]Xiao Zhou, Zhen-Hua Ling, Li-Rong Dai:
Extracting Unit Embeddings Using Sequence-To-Sequence Acoustic Models for Unit Selection Speech Synthesis. ICASSP 2020: 7659-7663 - [c204]Jianshu Zhang, Jun Du, Yongxin Yang, Yi-Zhe Song, Si Wei, Lirong Dai:
A Tree-Structured Decoder for Image-to-Markup Generation. ICML 2020: 11076-11085 - [c203]Jing-Xuan Zhang, Zhen-Hua Ling, Li-Rong Dai:
Recognition-Synthesis Based Non-Parallel Voice Conversion with Adversarial Learning. INTERSPEECH 2020: 771-775 - [c202]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: 841-845 - [c201]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: 3007-3011 - [c200]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: 3580-3584 - [i26]Fenglin Ding, Wu Guo, Lirong Dai, Jun Du:
Attentive batch normalization for lstm-based acoustic modeling of speech recognition. CoRR abs/2001.00129 (2020) - [i25]Jing-Xuan Zhang, Zhen-Hua Ling, Li-Rong Dai:
Recognition-Synthesis Based Non-Parallel Voice Conversion with Adversarial Learning. CoRR abs/2008.02371 (2020) - [i24]Liangfa Wei, Jie Zhang, Junfeng Hou, Lirong Dai:
Attentive Fusion Enhanced Audio-Visual Encoding for Transformer Based Robust Speech Recognition. CoRR abs/2008.02686 (2020) - [i23]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 abs/2009.01475 (2020) - [i22]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 abs/2009.09561 (2020) - [i21]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 abs/2012.14360 (2020)
2010 – 2019
- 2019
- [j37]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): 631-644 (2019) - [j36]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): 692-703 (2019) - [j35]Jianshu Zhang, Jun Du, Lirong Dai:
Track, Attend, and Parse (TAP): An End-to-End Framework for Online Handwritten Mathematical Expression Recognition. IEEE Trans. Multim. 21(1): 221-233 (2019) - [c199]Yuxuan Xi, Pengcheng Li, Yan Song, Yiheng Jiang, Lirong Dai:
Speaker to Emotion: Domain Adaptation for Speech Emotion Recognition with Residual Adapters. APSIPA 2019: 513-518 - [c198]Peng-Fei Wu, Zhen-Hua Ling, Li-Juan Liu, Yuan Jiang, Hong-Chuan Wu, Lirong Dai:
End-to-End Emotional Speech Synthesis Using Style Tokens and Semi-Supervised Training. APSIPA 2019: 623-627 - [c197]Jingyi Xu, Junfeng Hou, Yan Song, Wu Guo, Lirong Dai:
Knowledge Distillation from Multilingual and Monolingual Teachers for End-to-End Multilingual Speech Recognition. APSIPA 2019: 844-849 - [c196]Rui Na, Junfeng Hou, Wu Guo, Yan Song, Lirong Dai:
Learning Adaptive Downsampling Encoding for Online End-to-End Speech Recognition. APSIPA 2019: 850-854 - [c195]Yiheng Jiang, Yan Song, Jie Yan, Lirong Dai, Ian McLoughlin:
Triplet-Center Loss Based Deep Embedding Learning Method for Speaker Verification. APSIPA 2019: 1625-1629 - [c194]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: 755-759 - [c193]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: 6785-6789 - [c192]Qinhui Lei, Hang Chen, Junfeng Hou, Liang Chen, Lirong Dai:
Deep Neural Network Based Regression Approach for Acoustic Echo Cancellation. ICMSSP 2019: 94-98 - [c191]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: 361-365 - [c190]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: 1158-1162 - [c189]Lanhua You, Wu Guo, Li-Rong Dai, Jun Du:
Deep Neural Network Embeddings with Gating Mechanisms for Text-Independent Speaker Verification. INTERSPEECH 2019: 1168-1172 - [c188]Jia-Xiang Chen, Zhen-Hua Ling, Li-Rong Dai:
A Chinese Dataset for Identifying Speakers in Novels. INTERSPEECH 2019: 1561-1565 - [c187]Yuan-Hao Yi, Yang Ai, Zhen-Hua Ling, Li-Rong Dai:
Singing Voice Synthesis Using Deep Autoregressive Neural Networks for Acoustic Modeling. INTERSPEECH 2019: 2593-2597 - [c186]Yiheng Jiang, Yan Song, Ian McLoughlin, Zhifu Gao, Li-Rong Dai:
An Effective Deep Embedding Learning Architecture for Speaker Verification. INTERSPEECH 2019: 4040-4044 - [c185]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: 4225-4229 - [i20]Lanhua You, Wu Guo, Lirong Dai, Jun Du:
Deep Neural Network Embedding Learning with High-Order Statistics for Text-Independent Speaker Verification. CoRR abs/1903.12058 (2019) - [i19]Lanhua You, Wu Guo, Lirong Dai, Jun Du:
Deep Neural Network Embeddings with Gating Mechanisms for Text-Independent Speaker Verification. CoRR abs/1903.12092 (2019) - [i18]Yuan-Hao Yi, Yang Ai, Zhen-Hua Ling, Li-Rong Dai:
Singing Voice Synthesis Using Deep Autoregressive Neural Networks for Acoustic Modeling. CoRR abs/1906.08977 (2019) - [i17]Jing-Xuan Zhang, Zhen-Hua Ling, Li-Rong Dai:
Non-Parallel Sequence-to-Sequence Voice Conversion with Disentangled Linguistic and Speaker Representations. CoRR abs/1906.10508 (2019) - [i16]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 abs/1906.10859 (2019) - 2018
- [j34]Zengxi Li, Li-Rong Dai, Yan Song, Ian McLoughlin:
A Conditional Generative Model for Speech Enhancement. Circuits Syst. Signal Process. 37(11): 5005-5022 (2018) - [j33]Zheng-Chen Liu, Zhen-Hua Ling, Li-Rong Dai:
Articulatory-to-acoustic conversion using BLSTM-RNNs with augmented input representation. Speech Commun. 99: 161-172 (2018) - [j32]Zheng-Chen Liu, Zhen-Hua Ling, Li-Rong Dai:
Statistical Parametric Speech Synthesis Using Generalized Distillation Framework. IEEE Signal Process. Lett. 25(5): 695-699 (2018) - [j31]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): 171-183 (2018) - [j30]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): 883-894 (2018) - [j29]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): 1181-1193 (2018) - [j28]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): 999-1011 (2018) - [c184]Yaming Liu, Jian Tang, Yan Song, Lirong Dai:
A Capsule based Approach for Polyphonic Sound Event Detection. APSIPA 2018: 1853-1857 - [c183]Zengxi Li, Yan Song, Li-Rong Dai, Ian McLoughlin:
Source-Aware Context Network for Single-Channel Multi-Speaker Speech Separation. ICASSP 2018: 681-685 - [c182]Jing-Xuan Zhang, Zhen-Hua Ling, Li-Rong Dai:
Forward Attention in Sequence- To-Sequence Acoustic Modeling for Speech Synthesis. ICASSP 2018: 4789-4793 - [c181]Tian Gao, Jun Du, Li-Rong Dai, Chin-Hui Lee:
Densely Connected Progressive Learning for LSTM-Based Speech Enhancement. ICASSP 2018: 5054-5058 - [c180]Shiliang Zhang, Ming Lei, Zhijie Yan, Lirong Dai:
Deep-FSMN for Large Vocabulary Continuous Speech Recognition. ICASSP 2018: 5869-5873 - [c179]Peixin Chen, Wu Guo, Lirong Dai, Zhenhua Ling:
Pseudo-Supervised Approach for Text Clustering Based on Consensus Analysis. ICASSP 2018: 6184-6188 - [c178]Jianshu Zhang, Yixing Zhu, Jun Du, Lirong Dai:
Radical Analysis Network for Zero-Shot Learning in Printed Chinese Character Recognition. ICME 2018: 1-6 - [c177]Jianshu Zhang, Jun Du, Lirong Dai:
Multi-Scale Attention with Dense Encoder for Handwritten Mathematical Expression Recognition. ICPR 2018: 2245-2250 - [c176]Jianshu Zhang, Yixing Zhu, Jun Du, Lirong Dai:
Trajectory-based Radical Analysis Network for Online Handwritten Chinese Character Recognition. ICPR 2018: 3681-3686 - [c175]Jian Tang, Yan Song, Lirong Dai, Ian McLoughlin:
Acoustic Modeling with Densely Connected Residual Network for Multichannel Speech Recognition. INTERSPEECH 2018: 1783-1787 - [c174]Li-Juan Liu, Zhen-Hua Ling, Yuan Jiang, Ming Zhou, Li-Rong Dai:
WaveNet Vocoder with Limited Training Data for Voice Conversion. INTERSPEECH 2018: 1983-1987 - [c173]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: 2509-2513 - [c172]Pengcheng Li, Yan Song, Ian McLoughlin, Wu Guo, Lirong Dai:
An Attention Pooling Based Representation Learning Method for Speech Emotion Recognition. INTERSPEECH 2018: 3087-3091 - [c171]Zhifu Gao, Yan Song, Ian McLoughlin, Wu Guo, Lirong Dai:
An Improved Deep Embedding Learning Method for Short Duration Speaker Verification. INTERSPEECH 2018: 3578-3582 - [c170]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: 295-299 - [i15]Jianshu Zhang, Jun Du, Lirong Dai:
Multi-Scale Attention with Dense Encoder for Handwritten Mathematical Expression Recognition. CoRR abs/1801.03530 (2018) - [i14]Zhen-Hua Ling, Yang Ai, Yu Gu, Li-Rong Dai:
Waveform Modeling and Generation Using Hierarchical Recurrent Neural Networks for Speech Bandwidth Extension. CoRR abs/1801.07910 (2018) - [i13]Jianshu Zhang, Yixing Zhu, Jun Du, Lirong Dai:
Trajectory-based Radical Analysis Network for Online Handwritten Chinese Character Recognition. CoRR abs/1801.10109 (2018) - [i12]Shiliang Zhang, Ming Lei, Zhijie Yan, Lirong Dai:
Deep-FSMN for Large Vocabulary Continuous Speech Recognition. CoRR abs/1803.05030 (2018) - [i11]Jing-Xuan Zhang, Zhen-Hua Ling, Li-Rong Dai:
Forward Attention in Sequence-to-sequence Acoustic Modelling for Speech Synthesis. CoRR abs/1807.06736 (2018) - [i10]Yaming Liu, Jian Tang, Yan Song, Lirong Dai:
A Capsule based Approach for Polyphonic Sound Event Detection. CoRR abs/1807.07436 (2018) - [i9]Jing-Xuan Zhang, Zhen-Hua Ling, Li-Juan Liu, Yuan Jiang, Li-Rong Dai:
Sequence-to-Sequence Acoustic Modeling for Voice Conversion. CoRR abs/1810.06865 (2018) - [i8]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 abs/1811.08111 (2018) - 2017
- [j27]Yanhui Tu, Jun Du, Qing Wang, Xiao Bao, Li-Rong Dai, Chin-Hui Lee:
An information fusion framework with multi-channel feature concatenation and multi-perspective system combination for the deep-learning-based robust recognition of microphone array speech. Comput. Speech Lang. 46: 517-534 (2017) - [j26]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): 58-67 (2017) - [j25]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: 196-206 (2017) - [j24]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: 28-39 (2017) - [j23]Shiliang Zhang, Cong Liu, Hui Jiang, Si Wei, Li-Rong Dai, Yu Hu:
Nonrecurrent Neural Structure for Long-Term Dependence. IEEE ACM Trans. Audio Speech Lang. Process. 25(4): 871-884 (2017) - [j22]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): 1535-1546 (2017) - [c169]Junfeng Hou, Shiliang Zhang, Li-Rong Dai, Hui Jiang:
Feedforward sequential memory networks based encoder-decoder model for machine translation. APSIPA 2017: 622-625 - [c168]Huang Chen, Shiliang Zhang, Junfeng Hou, Lirong Dai:
Learning the number of nodes in DNNs with activation mask. APSIPA 2017: 1218-1221 - [c167]Shumin An, Zhenhua Ling, Lirong Dai:
Emotional statistical parametric speech synthesis using LSTM-RNNs. APSIPA 2017: 1613-1616 - [c166]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: 650-656 - [c165]Qing Wang, Jun Du, Li-Rong Dai, Chin-Hui Lee:
Joint noise and mask aware training for DNN-based speech enhancement with SUB-band features. HSCMA 2017: 101-105 - [c164]Lei Sun, Jun Du, Li-Rong Dai, Chin-Hui Lee:
Multiple-target deep learning for LSTM-RNN based speech enhancement. HSCMA 2017: 136-140 - [c163]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: 4915-4919 - [c162]Liping Chen, Kong-Aik Lee, Bin Ma, Long Ma, Haizhou Li, Li-Rong Dai:
Adaptation of PLDA for multi-source text-independent speaker verification. ICASSP 2017: 5380-5384 - [c161]Jianshu Zhang, Jun Du, Lirong Dai:
A GRU-Based Encoder-Decoder Approach with Attention for Online Handwritten Mathematical Expression Recognition. ICDAR 2017: 902-907 - [c160]Xiao Bao, Tian Gao, Jun Du, Li-Rong Dai:
An investigation of high-resolution modeling units of deep neural networks for acoustic scene classification. IJCNN 2017: 3028-3035 - [c159]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: 1178-1182 - [c158]Ma Jin, Yan Song, Ian Vince McLoughlin, Wu Guo, Li-Rong Dai:
End-to-End Language Identification Using High-Order Utterance Representation with Bilinear Pooling. INTERSPEECH 2017: 2571-2575 - [c157]Junfeng Hou, Shiliang Zhang, Li-Rong Dai:
Gaussian Prediction Based Attention for Online End-to-End Speech Recognition. INTERSPEECH 2017: 3692-3696 - [i7]Junbei Zhang, Xiaodan Zhu, Qian Chen, Li-Rong Dai, Si Wei, Hui Jiang:
Exploring Question Understanding and Adaptation in Neural-Network-Based Question Answering. CoRR abs/1703.04617 (2017) - [i6]Yong Xu, Jun Du, Zhen Huang, Li-Rong Dai, Chin-Hui Lee:
Multi-Objective Learning and Mask-Based Post-Processing for Deep Neural Network Based Speech Enhancement. CoRR abs/1703.07172 (2017) - [i5]Jianshu Zhang, Yixing Zhu, Jun Du, Li-Rong Dai:
RAN: Radical analysis networks for zero-shot learning of Chinese characters. CoRR abs/1711.01889 (2017) - [i4]Jianshu Zhang, Jun Du, Li-Rong Dai:
A GRU-based Encoder-Decoder Approach with Attention for Online Handwritten Mathematical Expression Recognition. CoRR abs/1712.03991 (2017) - 2016
- [j21]Xin Wang, Zhen-Hua Ling, Li-Rong Dai:
Concept-to-Speech generation with knowledge sharing for acoustic modelling and utterance filtering. Comput. Speech Lang. 38: 46-67 (2016) - [j20]Tian Gao, Jun Du, Yong Xu, Cong Liu, Li-Rong Dai, Chin-Hui Lee:
Joint training of DNNs by incorporating an explicit dereverberation structure for distant speech recognition. EURASIP J. Adv. Signal Process. 2016: 86 (2016) - [j19]Shiliang Zhang, Hui Jiang, Li-Rong Dai:
Hybrid Orthogonal Projection and Estimation (HOPE): A New Framework to Learn Neural Networks. J. Mach. Learn. Res. 17: 37:1-37:33 (2016) - [j18]Xiang Yin, Ming Lei, Yao Qian, Frank K. Soong, Lei He, Zhen-Hua Ling, Li-Rong Dai:
Modeling F0 trajectories in hierarchically structured deep neural networks. Speech Commun. 76: 82-92 (2016) - [j17]Jun Du, Yanhui Tu, Li-Rong Dai, Chin-Hui Lee:
A Regression Approach to Single-Channel Speech Separation Via High-Resolution Deep Neural Networks. IEEE ACM Trans. Audio Speech Lang. Process. 24(8): 1424-1437 (2016) - [j16]Shaofei Xue, Hui Jiang, Li-Rong Dai, Qingfeng Liu:
Speaker Adaptation of Hybrid NN/HMM Model for Speech Recognition Based on Singular Value Decomposition. J. Signal Process. Syst. 82(2): 175-185 (2016) - [j15]Liping Chen, Kong-Aik Lee, Bin Ma, Wu Guo, Haizhou Li, Li-Rong Dai:
Exploration of Local Variability in Text-Independent Speaker Verification. J. Signal Process. Syst. 82(2): 217-228 (2016) - [c156]Qing Wang, Jun Du, Li-Rong Dai:
Boosting DNN-based speech enhancement via explicit transformations. APSIPA 2016: 1-4 - [c155]Yannan Wang, Jun Du, Li-Rong Dai, Chin-Hui Lee:
Unsupervised single-channel speech separation via deep neural network for different gender mixtures. APSIPA 2016: 1-4 - [c154]Zengxi Li, Yan Song, Ian McLoughlin, Li-Rong Dai:
Compact convolutional neural network transfer learning for small-scale image classification. ICASSP 2016: 2737-2741 - [c153]Xiang Yin, Zhen-Hua Ling, Ya-Jun Hu, Li-Rong Dai:
Modeling spectral envelopes using deep conditional restricted Boltzmann machines for statistical parametric speech synthesis. ICASSP 2016: 5125-5129 - [c152]Zhiying Huang, Jian Tang, Shaofei Xue, Li-Rong Dai:
Speaker adaptation OF RNN-BLSTM for speech recognition based on speaker code. ICASSP 2016: 5305-5309 - [c151]Liping Chen, Kong-Aik Lee, Eng Siong Chng, Bin Ma, Haizhou Li, Li-Rong Dai:
Content-aware local variability vector for speaker verification with short utterance. ICASSP 2016: 5485-5489 - [c150]Ya-Jun Hu, Zhen-Hua Ling, Li-Rong Dai:
Deep belief network-based post-filtering for statistical parametric speech synthesis. ICASSP 2016: 5510-5514 - [c149]Zhen-Hua Ling, Xiao-Hui Sun, Li-Rong Dai, Yu Hu:
Modulation spectrum compensation for HMM-based speech synthesis using line spectral pairs. ICASSP 2016: 5595-5599 - [c148]Yu Gu, Zhen-Hua Ling, Li-Rong Dai:
Speech Bandwidth Extension Using Bottleneck Features and Deep Recurrent Neural Networks. INTERSPEECH 2016: 297-301 - [c147]Zheng-Chen Liu, Zhen-Hua Ling, Li-Rong Dai:
Articulatory-to-Acoustic Conversion with Cascaded Prediction of Spectral and Excitation Features Using Neural Networks. INTERSPEECH 2016: 1502-1506 - [c146]Ling-Hui Chen, Li-Juan Liu, Zhen-Hua Ling, Yuan Jiang, Li-Rong Dai:
The USTC System for Voice Conversion Challenge 2016: Neural Network Based Approaches for Spectrum, Aperiodicity and F0 Conversion. INTERSPEECH 2016: 1642-1646 - [c145]Jianshu Zhang, Jian Tang, Li-Rong Dai:
RNN-BLSTM Based Multi-Pitch Estimation. INTERSPEECH 2016: 1785-1789 - [c144]Shiliang Zhang, Hui Jiang, Shifu Xiong, Si Wei, Li-Rong Dai:
Compact Feedforward Sequential Memory Networks for Large Vocabulary Continuous Speech Recognition. INTERSPEECH 2016: 3389-3393 - [c143]Jian Tang, Shiliang Zhang, Si Wei, Li-Rong Dai:
Future Context Attention for Unidirectional LSTM Based Acoustic Model. INTERSPEECH 2016: 3394-3398 - [c142]Tian Gao, Jun Du, Li-Rong Dai, Chin-Hui Lee:
SNR-Based Progressive Learning of Deep Neural Network for Speech Enhancement. INTERSPEECH 2016: 3713-3717 - [c141]Nana Fan, Jun Du, Li-Rong Dai:
A regression approach to binaural speech segregation via deep neural network. ISCSLP 2016: 1-5 - [c140]Junfeng Hou, Shiliang Zhang, Li-Rong Dai:
Learning FOFE based FNN-LMs with noise contrastive estimation and part-of-speech features. ISCSLP 2016: 1-5 - [c139]Zhiying Huang, Shaofei Xue, Zhijie Yan, Li-Rong Dai:
Unsupervised speaker adaptation of BLSTM-RNN for LVCSR based on speaker code. ISCSLP 2016: 1-5 - [c138]Junhua Liu, Zhen-Hua Ling, Si Wei, Guoping Hu, Li-Rong Dai:
Cluster-based senone selection for the efficient calculation of deep neural network acoustic models. ISCSLP 2016: 1-5 - [c137]Mengjie Qian, Ian McLoughlin, Wu Quo, Li-Rong Dai:
Mismatched training data enhancement for automatic recognition of children's speech using DNN-HMM. ISCSLP 2016: 1-5 - [c136]Yanhui Tu, Jun Du, Li-Rong Dai, Chin-Hui Lee:
A speaker-dependent deep learning approach to joint speech separation and acoustic modeling for multi-talker automatic speech recognition. ISCSLP 2016: 1-5 - [c135]Shaofei Xue, Zhijie Yan, Zhiying Huang, Li-Rong Dai:
Rapid speaker adaptation based on D-code extracted from BLSTM-RNN in LVCSR. ISCSLP 2016: 1-5 - [c134]Junbei Zhang, Junfeng Hou, Shiliang Zhang, Li-Rong Dai:
USTC at NTCIR-12 STC Task. NTCIR 2016 - [c133]Yan Song, Ruilian Cui, Ian McLoughlin, Li-Rong Dai:
Improvements on Deep Bottleneck Network based I-Vector Representation for Spoken Language Identification. Odyssey 2016: 140-145 - [c132]Ma Jin, Yan Song, Ian McLoughlin, Li-Rong Dai, Zhongfu Ye:
LID-senone Extraction via Deep Neural Networks for End-to-End Language Identification. Odyssey 2016: 210-216 - [c131]Yan Song, Xinhai Hong, Ian McLoughlin, Li-Rong Dai:
Image classification with CNN-based Fisher vector coding. VCIP 2016: 1-4 - 2015
- [j14]Ming-Qi Cai, Zhen-Hua Ling, Li-Rong Dai:
Statistical parametric speech synthesis using a hidden trajectory model. Speech Commun. 72: 149-159 (2015) - [j13]Liping Chen, Kong-Aik Lee, Li-Rong Dai, Haizhou Li:
Quasi-Factorial Prior for i-vector Extraction. IEEE Signal Process. Lett. 22(12): 2484-2488 (2015) - [j12]Yong Xu, Jun Du, Li-Rong Dai, Chin-Hui Lee:
A Regression Approach to Speech Enhancement Based on Deep Neural Networks. IEEE ACM Trans. Audio Speech Lang. Process. 23(1): 7-19 (2015) - [j11]Pan Zhou, Hui Jiang, Li-Rong Dai, Yu Hu, Qingfeng Liu:
State-Clustering Based Multiple Deep Neural Networks Modeling Approach for Speech Recognition. IEEE ACM Trans. Audio Speech Lang. Process. 23(4): 631-642 (2015) - [c130]Shiliang Zhang, Hui Jiang, Mingbin Xu, Junfeng Hou, Li-Rong Dai:
The Fixed-Size Ordinally-Forgetting Encoding Method for Neural Network Language Models. ACL (2) 2015: 495-500 - [c129]Jun Du, Qing Wang, Yanhui Tu, Xiao Bao, Li-Rong Dai, Chin-Hui Lee:
An information fusion approach to recognizing microphone array speech in the CHiME-3 challenge based on a deep learning framework. ASRU 2015: 430-435 - [c128]Zheng-Chen Liu, Zhen-Hua Ling, Li-Rong Dai:
LIP movement generation using restricted Boltzmann machines for visual speech synthesis. ChinaSIP 2015: 606-610 - [c127]Tian Gao, Jun Du, Li Xu, Cong Liu, Li-Rong Dai, Chin-Hui Lee:
A unified speaker-dependent speech separation and enhancement system based on deep neural networks. ChinaSIP 2015: 687-691 - [c126]Tian Gao, Jun Du, Yong Xu, Cong Liu, Li-Rong Dai, Chin-Hui Lee:
Improving Deep Neural Network Based Speech Enhancement in Low SNR Environments. LVA/ICA 2015: 75-82 - [c125]Yanhui Tu, Jun Du, Li-Rong Dai, Chin-Hui Lee:
Speech Separation based on signal-noise-dependent deep neural networks for robust speech recognition. ICASSP 2015: 61-65 - [c124]Yan Song, Ruilian Cui, Xinhai Hong, Ian McLoughlin, Jiong Shi, Li-Rong Dai:
Improved language identification using deep bottleneck network. ICASSP 2015: 4200-4204 - [c123]Tian Gao, Jun Du, Li-Rong Dai, Chin-Hui Lee:
Joint training of front-end and back-end deep neural networks for robust speech recognition. ICASSP 2015: 4375-4379 - [c122]Shaofei Xue, Hui Jiang, Li-Rong Dai, Qingfeng Liu:
Unsupervised speaker adaptation of deep neural network based on the combination of speaker codes and singular value decomposition for speech recognition. ICASSP 2015: 4555-4559 - [c121]Li-Juan Liu, Ling-Hui Chen, Zhen-Hua Ling, Li-Rong Dai:
Spectral conversion using deep neural networks trained with multi-source speakers. ICASSP 2015: 4849-4853 - [c120]Liping Chen, Kong-Aik Lee, Bin Ma, Wu Guo, Haizhou Li, Li-Rong Dai:
Channel adaptation of plda for text-independent speaker verification. ICASSP 2015: 5251-5255 - [c119]Jun Du, Jian-Fang Zhai, Jin-Shui Hu, Bo Zhu, Si Wei, Li-Rong Dai:
Writer adaptive feature extraction based on convolutional neural networks for online handwritten Chinese character recognition. ICDAR 2015: 841-845 - [c118]Liping Chen, Kong-Aik Lee, Bin Ma, Wu Guo, Haizhou Li, Li-Rong Dai:
Phone-centric local variability vector for text-constrained speaker verification. INTERSPEECH 2015: 229-233 - [c117]Yan Song, Xinhai Hong, Bing Jiang, Ruilian Cui, Ian McLoughlin, Li-Rong Dai:
Deep bottleneck network based i-vector representation for language identification. INTERSPEECH 2015: 398-402 - [c116]Yannan Wang, Jun Du, Li-Rong Dai, Chin-Hui Lee:
High-resolution acoustic modeling and compact language modeling of language-universal speech attributes for spoken language identification. INTERSPEECH 2015: 992-996 - [c115]Yong Xu, Jun Du, Zhen Huang, Li-Rong Dai, Chin-Hui Lee:
Multi-objective learning and mask-based post-processing for deep neural network based speech enhancement. INTERSPEECH 2015: 1508-1512 - [c114]Qian Chen, Zhen-Hua Ling, Chen-Yu Yang, Li-Rong Dai:
Automatic phrase boundary labeling of speech synthesis database using context-dependent HMMs and n-gram prior distributions. INTERSPEECH 2015: 1581-1585 - [c113]Qing Wang, Jun Du, Xiao Bao, Zi-Rui Wang, Li-Rong Dai, Chin-Hui Lee:
A universal VAD based on jointly trained deep neural networks. INTERSPEECH 2015: 2282-2286 - [c112]Shiliang Zhang, Hui Jiang, Si Wei, Li-Rong Dai:
Rectified linear neural networks with tied-scalar regularization for LVCSR. INTERSPEECH 2015: 2635-2639 - [c111]Yan Song, Ian McLoughlin, Li-Rong Dai:
Deep Bottleneck Feature for Image Classification. ICMR 2015: 491-494 - [i3]Shiliang Zhang, Hui Jiang, Mingbin Xu, Junfeng Hou, Li-Rong Dai:
A Fixed-Size Encoding Method for Variable-Length Sequences with its Application to Neural Network Language Models. CoRR abs/1505.01504 (2015) - [i2]Shiliang Zhang, Hui Jiang, Si Wei, Li-Rong Dai:
Feedforward Sequential Memory Neural Networks without Recurrent Feedback. CoRR abs/1510.02693 (2015) - [i1]Shiliang Zhang, Cong Liu, Hui Jiang, Si Wei, Li-Rong Dai, Yu Hu:
Feedforward Sequential Memory Networks: A New Structure to Learn Long-term Dependency. CoRR abs/1512.08301 (2015) - 2014
- [j10]Chen-Yu Yang, Zhen-Hua Ling, Li-Rong Dai:
Unsupervised Prosodic Labeling of Speech Synthesis Databases Using Context-Dependent HMMs. IEICE Trans. Inf. Syst. 97-D(6): 1449-1460 (2014) - [j9]Xian-Jun Xia, Zhen-Hua Ling, Yuan Jiang, Li-Rong Dai:
HMM-based unit selection speech synthesis using log likelihood ratios derived from perceptual data. Speech Commun. 63: 27-37 (2014) - [j8]Yong Xu, Jun Du, Li-Rong Dai, Chin-Hui Lee:
An Experimental Study on Speech Enhancement Based on Deep Neural Networks. IEEE Signal Process. Lett. 21(1): 65-68 (2014) - [j7]Shaofei Xue, Ossama Abdel-Hamid, Hui Jiang, Li-Rong Dai, Qingfeng Liu:
Fast adaptation of deep neural network based on discriminant codes for speech recognition. IEEE ACM Trans. Audio Speech Lang. Process. 22(12): 1713-1725 (2014) - [j6]Ling-Hui Chen, Zhen-Hua Ling, Li-Juan Liu, Li-Rong Dai:
Voice conversion using deep neural networks with layer-wise generative training. IEEE ACM Trans. Audio Speech Lang. Process. 22(12): 1859-1872 (2014) - [c110]Yong Xu, Jun Du, Li-Rong Dai, Chin-Hui Lee:
Global variance equalization for improving deep neural network based speech enhancement. ChinaSIP 2014: 71-75 - [c109]Yan Song, Wu Guo, Li-Rong Dai, Ian Vince McLoughlin:
A spectral based visual matching method for image classification. ICAILP 2014: 666-670 - [c108]Jun Du, Li-Rong Dai, Qiang Huo:
Synthesized stereo mapping via deep neural networks for noisy speech recognition. ICASSP 2014: 1764-1768 - [c107]Xiang Yin, Zhen-Hua Ling, Li-Rong Dai:
Spectral modeling using neural autoregressive distribution estimators for statistical parametric speech synthesis. ICASSP 2014: 3824-3828 - [c106]Liping Chen, Kong-Aik Lee, Bin Ma, Wu Guo, Haizhou Li, Li-Rong Dai:
Minimum divergence estimation of speaker prior in multi-session PLDA scoring. ICASSP 2014: 4007-4011 - [c105]Diyuan Liu, Si Wei, Wu Guo, Yebo Bao, Shifu Xiong, Li-Rong Dai:
Lattice based optimization of bottleneck feature extractor with linear transformation. ICASSP 2014: 5617-5621 - [c104]Pan Zhou, Li-Rong Dai, Hui Jiang:
Sequence training of multiple deep neural networks for better performance and faster training speed. ICASSP 2014: 5627-5631 - [c103]Shaofei Xue, Ossama Abdel-Hamid, Hui Jiang, Li-Rong Dai:
Direct adaptation of hybrid DNN/HMM model for fast speaker adaptation in LVCSR based on speaker code. ICASSP 2014: 6339-6343 - [c102]Shiliang Zhang, Yebo Bao, Pan Zhou, Hui Jiang, Li-Rong Dai:
Improving deep neural networks for LVCSR using dropout and shrinking structure. ICASSP 2014: 6849-6853 - [c101]Li-Juan Liu, Ling-Hui Chen, Zhen-Hua Ling, Li-Rong Dai:
Using bidirectional associative memories for joint spectral envelope modeling in voice conversion. ICASSP 2014: 7884-7888 - [c100]Jun Du, Jin-Shui Hu, Bo Zhu, Si Wei, Li-Rong Dai:
Writer Adaptation Using Bottleneck Features and Discriminative Linear Regression for Online Handwritten Chinese Character Recognition. ICFHR 2014: 311-316 - [c99]Jun Du, Jin-Shui Hu, Bo Zhu, Si Wei, Li-Rong Dai:
A Study of Designing Compact Classifiers Using Deep Neural Networks for Online Handwritten Chinese Character Recognition. ICPR 2014: 2950-2955 - [c98]Jun Du, Qing Wang, Tian Gao, Yong Xu, Li-Rong Dai, Chin-Hui Lee:
Robust speech recognition with speech enhanced deep neural networks. INTERSPEECH 2014: 616-620 - [c97]Ming-Qi Cai, Zhen-Hua Ling, Li-Rong Dai:
Formant-controlled speech synthesis using hidden trajectory model. INTERSPEECH 2014: 1529-1533 - [c96]Xiang Yin, Ming Lei, Yao Qian, Frank K. Soong, Lei He, Zhen-Hua Ling, Li-Rong Dai:
Modeling DCT parameterized F0 trajectory at intonation phrase level with DNN or decision tree. INTERSPEECH 2014: 2273-2277 - [c95]Ling-Hui Chen, Zhen-Hua Ling, Li-Rong Dai:
Voice conversion using generative trained deep neural networks with multiple frame spectral envelopes. INTERSPEECH 2014: 2313-2317 - [c94]Yong Xu, Jun Du, Li-Rong Dai, Chin-Hui Lee:
Dynamic noise aware training for speech enhancement based on deep neural networks. INTERSPEECH 2014: 2670-2674 - [c93]Xin Wang, Zhen-Hua Ling, Li-Rong Dai:
Concept-to-speech generation by integrating syntagmatic features into HMM-based speech synthesis. INTERSPEECH 2014: 2942-2946 - [c92]Bing Jiang, Yan Song, Si Wei, Ian Vince McLoughlin, Li-Rong Dai:
Task-aware deep bottleneck features for spoken language identification. INTERSPEECH 2014: 3012-3016 - [c91]Shaofei Xue, Hui Jiang, Li-Rong Dai:
Speaker adaptation of hybrid NN/HMM model for speech recognition based on singular value decomposition. ISCSLP 2014: 1-5 - [c90]Liping Chen, Kong-Aik Lee, Bin Ma, Wu Guo, Haizhou Li, Li-Rong Dai:
Local variability vector for text-independent speaker verification. ISCSLP 2014: 54-58 - [c89]Changqing Kong, Shaofei Xue, Jianqing Gao, Wu Guo, Li-Rong Dai, Hui Jiang:
Speaker adaptive bottleneck features extraction for LVCSR based on discriminative learning of speaker codes. ISCSLP 2014: 83-87 - [c88]Bing Jiang, Yan Song, Si Wei, Meng-Ge Wang, Ian McLoughlin, Li-Rong Dai:
Performance evaluation of deep bottleneck features for spoken language identification. ISCSLP 2014: 143-147 - [c87]Yannan Wang, Jun Du, Li-Rong Dai, Chin-Hui Lee:
A fusion approach to spoken language identification based on combining multiple phone recognizers and speech attribute detectors. ISCSLP 2014: 158-162 - [c86]Yu-Sheng Sun, Zhen-Hua Ling, Xiang Yin, Li-Rong Dai:
Integrating global variance of log power spectrum derived from LSPs into MGE training for HMM-based parametric speech synthesis. ISCSLP 2014: 201-205 - [c85]Yanhui Tu, Jun Du, Yong Xu, Li-Rong Dai, Chin-Hui Lee:
Speech separation based on improved deep neural networks with dual outputs of speech features for both target and interfering speakers. ISCSLP 2014: 250-254 - [c84]Li Gao, Zhen-Hua Ling, Ling-Hui Chen, Li-Rong Dai:
Improving F0 prediction using bidirectional associative memories and syllable-level F0 features for HMM-based Mandarin speech synthesis. ISCSLP 2014: 275-279 - [c83]Yong Xu, Jun Du, Li-Rong Dai, Chin-Hui Lee:
Cross-language transfer learning for deep neural network based speech enhancement. ISCSLP 2014: 336-340 - [c82]Kong Aik Lee, Bin Ma, Haizhou Li, Liping Chen, Wu Guo, Li-Rong Dai:
Local Variability Modeling for Text-Independent Speaker Verification. Odyssey 2014 - 2013
- [c81]Pan Zhou, Cong Liu, Qingfeng Liu, Li-Rong Dai, Hui Jiang:
A cluster-based multiple deep neural networks method for large vocabulary continuous speech recognition. ICASSP 2013: 6650-6654 - [c80]Chen-Yu Yang, Zhen-Hua Ling, Li-Rong Dai:
Unsupervised prosodic phrase boundary labeling of Mandarin speech synthesis database using context-dependent HMM. ICASSP 2013: 6875-6879 - [c79]Yebo Bao, Hui Jiang, Li-Rong Dai, Cong Liu:
Incoherent training of deep neural networks to de-correlate bottleneck features for speech recognition. ICASSP 2013: 6980-6984 - [c78]Meng-Ge Wang, Yan Song, Bing Jiang, Li-Rong Dai, Ian McLoughlin:
Exemplar based language recognition method for short-duration speech segments. ICASSP 2013: 7354-7358 - [c77]LianWu Chen, Wu Guo, Yan Song, Li-Rong Dai:
Phoneme variation based synthesized speech discrimination for speaker verification. ICASSP 2013: 7874-7877 - [c76]Ling-Hui Chen, Zhen-Hua Ling, Yan Song, Li-Rong Dai:
Joint spectral distribution modeling using restricted boltzmann machines for voice conversion. INTERSPEECH 2013: 3052-3056 - 2012
- [j5]Zhen-Hua Ling, Li-Rong Dai:
Minimum Kullback-Leibler Divergence Parameter Generation for HMM-Based Speech Synthesis. IEEE Trans. Speech Audio Process. 20(5): 1492-1502 (2012) - [c75]Xiang Yin, Zhen-Hua Ling, Ming Lei, Li-Rong Dai:
Considering Global Variance of the Log Power Spectrum Derived from Mel-Cepstrum in HMM-based Parametric Speech Synthesis. INTERSPEECH 2012: 1147-1150 - [c74]Bing Jiang, Yan Song, Wu Guo, Li-Rong Dai:
Exemplar-Based Sparse Representation for Language Recognition on I-Vectors. INTERSPEECH 2012: 2057-2060 - [c73]Xin Wang, Zhen-Hua Ling, Li-Rong Dai:
Cross-stream dependency modeling using continuous F0 model for HMM-based speech synthesis. ISCSLP 2012: 84-87 - [c72]Yong Xu, Wu Guo, Shan Su, Li-Rong Dai:
Spoken term detection for OOV terms based on triphone confusion matrix. ISCSLP 2012: 98-102 - [c71]Xian-Jun Xia, Zhen-Hua Ling, Chen-Yu Yang, Li-Rong Dai:
Improved unit selection speech synthesis method utilizing subjective evaluation results on synthetic speech. ISCSLP 2012: 160-164 - [c70]Kui Wu, Yan Song, Wu Guo, Li-Rong Dai:
Intra-conversation intra-speaker variability compensation for speaker clustering. ISCSLP 2012: 330-334 - [c69]Yong Xu, Wu Guo, Li-Rong Dai:
A hybrid fragment / syllable-based system for improved OOV term detection. ISCSLP 2012: 378-382 - 2011
- [j4]Cong Liu, Yu Hu, Li-Rong Dai, Hui Jiang:
Trust Region-Based Optimization for Maximum Mutual Information Estimation of HMMs in Speech Recognition. IEEE ACM Trans. Audio Speech Lang. Process. 19(8): 2474-2485 (2011) - [c68]Yan Song, Jinhui Tang, Xia Li, Qi Tian, Li-Rong Dai:
Effective image representation based on bi-layer visual codebook. ACPR 2011: 224-228 - [c67]Yanhua Long, Zhi-Jie Yan, Frank K. Soong, Li-Rong Dai, Wu Guo:
Speaker characterization using spectral subband energy ratio based on Harmonic plus Noise Model. ICASSP 2011: 4520-4523 - [c66]Ming Lei, Zhen-Hua Ling, Li-Rong Dai:
Preserve ordering property of generated LSPS for minimum generation error training in HMM-based speech synthesis. ICASSP 2011: 4712-4715 - [c65]Eryu Wang, Kong-Aik Lee, Bin Ma, Haizhou Li, Wu Guo, Li-Rong Dai:
Factored covariance modeling for text-independent speaker verification. ICASSP 2011: 4856-4859 - [c64]Ling-Hui Chen, Zhen-Hua Ling, Li-Rong Dai:
Non-parallel training for voice conversion based on FT-GMM. ICASSP 2011: 5116-5119 - [c63]Heng Lu, Zhen-Hua Ling, Li-Rong Dai, Ren-Hua Wang:
Building HMM based unit-selection speech synthesis system using synthetic speech naturalness evaluation score. ICASSP 2011: 5352-5355 - [c62]Yanhua Long, Zhi-Jie Yan, Frank K. Soong, Li-Rong Dai, Wu Guo:
Improvements in Speaker Characterization Using Spectral Subband Energy Based on Harmonic plus Noise Model. INTERSPEECH 2011: 373-376 - [c61]Ling-Hui Chen, Yoshihiko Nankaku, Heiga Zen, Keiichi Tokuda, Zhen-Hua Ling, Li-Rong Dai:
Estimation of Window Coefficients for Dynamic Feature Extraction for HMM-Based Speech Synthesis. INTERSPEECH 2011: 1801-1804 - [c60]Ming Lei, Junichi Yamagishi, Korin Richmond, Zhen-Hua Ling, Simon King, Li-Rong Dai:
Formant-Controlled HMM-Based Speech Synthesis. INTERSPEECH 2011: 2777-2780 - 2010
- [j3]Heng Lu, Zhen-Hua Ling, Li-Rong Dai, Ren-Hua Wang:
Cross-Validation and Minimum Generation Error based Decision Tree Pruning for HMM-based Speech Synthesis. Int. J. Comput. Linguistics Chin. Lang. Process. 15(1) (2010) - [c59]Ming Lei, Zhen-Hua Ling, Li-Rong Dai:
Minimum generation error training with weighted Euclidean distance on LSP for HMM-based speech synthesis. ICASSP 2010: 4230-4233 - [c58]Wu Guo, Zhao Zhang, Yanhua Long, Li-Rong Dai:
N-gram nearest neighbor algorithm for voice password system. ICASSP 2010: 4438-4441 - [c57]Jun Du, Yu Hu, Li-Rong Dai, Ren-Hua Wang:
HMM-based pseudo-clean speech synthesis for splice algorithm. ICASSP 2010: 4570-4573 - [c56]Cong Liu, Yu Hu, Hui Jiang, Li-Rong Dai:
A bounded trust region optimization for discriminative training of HMMS in speech recognition. ICASSP 2010: 4914-4917 - [c55]Yan Song, Qi Tian, Mengyue Wang, Heng Liu, Li-Rong Dai:
Multiple instance learning using visual phrases for object classification. ICME 2010: 649-654 - [c54]Heng Lu, Zhen-Hua Ling, Si Wei, Li-Rong Dai, Ren-Hua Wang:
Automatic error detection for unit selection speech synthesis using log likelihood ratio based SVM classifier. INTERSPEECH 2010: 162-165 - [c53]Zhen-Hua Ling, Yu Hu, Li-Rong Dai:
Global variance modeling on the log power spectrum of LSPs for HMM-based speech synthesis. INTERSPEECH 2010: 825-828 - [c52]Eryu Wang, Kong-Aik Lee, Bin Ma, Haizhou Li, Wu Guo, Li-Rong Dai:
The estimation and kernel metric of spectral correlation for text-independent speaker verification. INTERSPEECH 2010: 1065-1068 - [c51]Yanhua Long, Li-Rong Dai, Bin Ma, Wu Guo:
Effects of the phonological relevance in speaker verification. INTERSPEECH 2010: 2130-2133 - [c50]Ming Lei, Yi-Jian Wu, Frank K. Soong, Zhen-Hua Ling, Li-Rong Dai:
A hierarchical F0 modeling method for HMM-based speech synthesis. INTERSPEECH 2010: 2170-2173 - [c49]Tian-Yi Zhao, Zhen-Hua Ling, Ming Lei, Li-Rong Dai, Qingfeng Liu:
Minimum generation error training for HMM-based prediction of articulatory movements. ISCSLP 2010: 99-102 - [c48]Zhen-Hua Ling, Zhiguo Wang, Li-Rong Dai:
Statistical modeling of syllable-level F0 features for HMM-based unit selection speech synthesis. ISCSLP 2010: 144-147 - [c47]Ying Xu, Yan Song, Yanhua Long, Hai-Bing Zhong, Li-Rong Dai:
The description of iFlyTek Speech Lab system for NIST2009 Language Recognition Evaluation. ISCSLP 2010: 157-161 - [c46]Eryu Wang, Wu Guo, Li-Rong Dai, Kong-Aik Lee, Bin Ma, Haizhou Li:
Factor analysis based spatial correlation modeling for speaker verification. ISCSLP 2010: 166-170 - [c45]Zhiguo Wang, Cong Liu, Hai-Kun Wang, Yu Hu, Li-Rong Dai:
Phonetic clustering based confidence measure for embedded speech recognition. ISCSLP 2010: 186-189 - [c44]Yanhua Long, Li-Rong Dai, Eryu Wang, Bin Ma, Wu Guo:
Non-negative matrix factorization based discriminative features for speaker verification. ISCSLP 2010: 291-295 - [c43]LianWu Chen, Wu Guo, Li-Rong Dai:
Speaker verification against synthetic speech. ISCSLP 2010: 309-312 - [c42]Ling-Hui Chen, Zhen-Hua Ling, Wu Guo, Li-Rong Dai:
GMM-based voice conversion with explicit modelling on feature transform. ISCSLP 2010: 364-368 - [c41]Chen-Yu Yang, Zhen-Hua Ling, Heng Lu, Wu Guo, Li-Rong Dai:
Automatic phrase boundary labeling for Mandarin TTS corpus using context-dependent HMM. ISCSLP 2010: 374-377
2000 – 2009
- 2009
- [j2]Meng Wang, Xian-Sheng Hua, Tao Mei, Richang Hong, Guo-Jun Qi, Yan Song, Li-Rong Dai:
Semi-supervised kernel density estimation for video annotation. Comput. Vis. Image Underst. 113(3): 384-396 (2009) - [c40]Heng Lu, Yi-Jian Wu, Keiichi Tokuda, Li-Rong Dai, Ren-Hua Wang:
Full covariance state duration modeling for HMM-based speech synthesis. ICASSP 2009: 4033-4036 - [c39]Haizhou Li, Bin Ma, Kong-Aik Lee, Hanwu Sun, Donglai Zhu, Khe Chai Sim, Changhuai You, Rong Tong, Ismo Kärkkäinen, Chien-Lin Huang, Vladimir Pervouchine, Wu Guo, Yijie Li, Li-Rong Dai, Mohaddeseh Nosratighods, Tharmarajah Thiruvaran, Julien Epps, Eliathamby Ambikairajah, Chng Eng Siong, Tanja Schultz, Qin Jin:
The I4U system in NIST 2008 speaker recognition evaluation. ICASSP 2009: 4201-4204 - [c38]Wu Guo, Yanhua Long, Yijie Li, Lei Pan, Eryu Wang, Li-Rong Dai:
iFLY system for the NIST 2008 speaker recognition evaluation. ICASSP 2009: 4209-4212 - [c37]Yanhua Long, Bin Ma, Haizhou Li, Wu Guo, Chng Eng Siong, Li-Rong Dai:
Exploiting prosodic information for Speaker Recognition. ICASSP 2009: 4225-4228 - [c36]Yan Song, Li-Rong Dai, Ren-Hua Wang:
An automatic language identification method based on subspace analysis. ICME 2009: 598-601 - [c35]Cheng-Cheng Wang, Zhen-Hua Ling, Li-Rong Dai:
Asynchronous F0 and spectrum modeling for HMM-based speech synthesis. INTERSPEECH 2009: 404-407 - 2008
- [c34]Long Qin, Yi-Jian Wu, Zhen-Hua Ling, Ren-Hua Wang, Li-Rong Dai:
Minumum generation error linear regression based model adaptation for HMM-based speech synthesis. ICASSP 2008: 3953-3956 - [c33]Long Qin, Yi-Jian Wu, Zhen-Hua Ling, Ren-Hua Wang, Li-Rong Dai:
Minimum generation error criterion considering global/local variance for HMM-based speech synthesis. ICASSP 2008: 4621-4624 - [c32]Bo Zhu, Zhi-Jie Yan, Yu Hu, Zhiguo Wang, Li-Rong Dai, Ren-Hua Wang:
Investigation on Adaptation Using Different Discriminative Training Criteria Based Linear Regression and Map. ISCSLP 2008: 93-96 - [c31]Cheng-Cheng Wang, Zhen-Hua Ling, Bu-Fan Zhang, Li-Rong Dai:
Multi-Layer F0 Modeling for HMM-Based Speech Synthesis. ISCSLP 2008: 129-132 - [c30]Heng Lu, Zhen-Hua Ling, Si Wei, Yu Hu, Li-Rong Dai, Ren-Hua Wang:
Heteronym Verification for Mandarin Speech Synthesis. ISCSLP 2008: 137-140 - [c29]Wu Guo, Li-Rong Dai, Ren-Hua Wang:
Double Gauss Based Unsupervised Score Normalization in Speaker Verification. ISCSLP 2008: 165-168 - [c28]Cong Liu, Yu Hu, Xiong-Guo Lei, Zhiguo Wang, Li-Rong Dai, Ren-Hua Wang:
Exploiting Non-Target Region Information for Confidence Measure Based on Bayesian Information Criterion. ISCSLP 2008: 229-232 - [c27]Yanhua Long, Wu Guo, Li-Rong Dai:
Interfusing the Confused Region Score of Speaker Verification Systems. ISCSLP 2008: 314-317 - [c26]Eryu Wang, Wu Guo, Li-Rong Dai:
Parallel Phone Recognizer based MLLR Speaker Recognition. ISCSLP 2008: 318-321 - [c25]Yan Song, Li-Rong Dai:
A Sample and Feature Selection Scheme for GMM-SVM Based Language Recognition. ISCSLP 2008: 326-329 - [c24]Xu Bing, Yan Song, Li-Rong Dai:
The Adaptation Schemes In PR-SVM Based Language Recognition. ISCSLP 2008: 334-337 - 2007
- [j1]Meng Wang, Xian-Sheng Hua, Tao Mei, Jinhui Tang, Guo-Jun Qi, Yan Song, Li-Rong Dai:
Interactive Video Annotation by Multi-Concept Multi-Modality Active Learning. Int. J. Semantic Comput. 1(4): 459-477 (2007) - [c23]Wu Guo, Lei Pan, Ren-Hua Wang, Li-Rong Dai:
Angle of Models Distance as Test Algorithm in Speaker Verification. FSKD (4) 2007: 231-234 - [c22]Meng Wang, Xian-Sheng Hua, Yan Song, Li-Rong Dai, Ren-Hua Wang:
An Interactive Video Annotation Frameowrk with Multiple Modalities. ICASSP (1) 2007: 957-960 - [c21]Meng Wang, Xian-Sheng Hua, Yan Song, Richang Hong, Li-Rong Dai:
Lazy Learning Based Efficient Video Annotation. ICME 2007: 607-610 - [c20]Meng Wang, Xian-Sheng Hua, Xun Yuan, Yan Song, Li-Rong Dai:
Multi-Graph Semi-Supervised Learning for Video Semantic Feature Extraction. ICME 2007: 1978-1981 - [c19]Meng Wang, Tao Mei, Xun Yuan, Yan Song, Li-Rong Dai:
Video annotation by graph-based learning with neighborhood similarity. ACM Multimedia 2007: 325-328 - [c18]Meng Wang, Xian-Sheng Hua, Xun Yuan, Yan Song, Li-Rong Dai:
Optimizing multi-graph learning: towards a unified video annotation scheme. ACM Multimedia 2007: 862-871 - [c17]Meng Wang, Xian-Sheng Hua, Yan Song, Wei Lai, Li-Rong Dai, Ren-Hua Wang:
An Efficient Automatic Video Shot Size Annotation Scheme. MMM (1) 2007: 649-658 - [c16]Meng Wang, Xian-Sheng Hua, Yan Song, Jinhui Tang, Li-Rong Dai:
RMulti-Concept Multi-Modality Active Learning for Interactive Video Annotation. ICSC 2007: 321-328 - 2006
- [c15]Guo-Jun Qi, Yan Song, Xian-Sheng Hua, Hong-Jiang Zhang, Li-Rong Dai:
Video Annotation by Active Learning and Cluster Tuning. CVPR Workshops 2006: 114 - [c14]Yan Song, Xian-Sheng Hua, Li-Rong Dai, Meng Wang, Ren-Hua Wang:
An Automatic Video Semantic Annotation Scheme Based on Combination of Complementary Predictors. ICASSP (5) 2006: 501-504 - [c13]Meng Wang, Xian-Sheng Hua, Yan Song, Li-Rong Dai, HongJiang Zhang:
Semi-Supervised Kernel Regression. ICDM 2006: 1130-1135 - [c12]Yan Song, Guo-Jun Qi, Xian-Sheng Hua, Li-Rong Dai, Ren-Hua Wang:
Video Annotation by Active Learning and Semi-Supervised Ensembling. ICME 2006: 933-936 - [c11]Meng Wang, Xian-Sheng Hua, Li-Rong Dai, Yan Song:
Enhanced Semi-Supervised Learning for Automatic Video Annotation. ICME 2006: 1485-1488 - [c10]Meng Wang, Xian-Sheng Hua, Yan Song, Li-Rong Dai, Shipeng Li:
Automatic video annotation based on co-adaptation and label correction. ISCAS 2006 - [c9]Yan Song, Xian-Sheng Hua, Guo-Jun Qi, Li-Rong Dai, Meng Wang, HongJiang Zhang:
Efficient semantic annotation method for indexing large personal video database. Multimedia Information Retrieval 2006: 289-296 - 2005
- [c8]Long Qin, Gao Peng Chen, Zhen-Hua Ling, Li-Rong Dai:
An Improved Spectral and Prosodic Transformation Method in STRAIGHT-based Voice Conversion. ICASSP (1) 2005: 21-24 - [c7]Jianfeng Li, Guoping Hu, Ren-Hua Wang, Li-Rong Dai:
Sliding Window Smoothing For Maximum Entropy Based Intonational Phrase Prediction In Chinese. ICASSP (1) 2005: 285-288 - [c6]Yan Song, Xian-Sheng Hua, Li-Rong Dai, Meng Wang:
Semi-automatic video annotation based on active learning with multiple complementary predictors. Multimedia Information Retrieval 2005: 97-104 - 2004
- [c5]Jin-Yu Li, Bo Liu, Ren-Hua Wang, Li-Rong Dai:
A complexity reduction of ETSI advanced front-end for DSR. ICASSP (1) 2004: 61-64 - [c4]Wei Lai, Xiaodong Gu, Ren-Hua Wang, Li-Rong Dai, HongJiang Zhang:
A region based multiple frame-rate tradeoff of video streaming. ICIP 2004: 2067-2070 - [c3]Xiao-Bing Li, Li-Rong Dai, Ren-Hua Wang:
MCE-based training of subspace distribution clustering HMM. ISCSLP 2004: 113-116 - [c2]Bo Liu, Li-Rong Dai, Jin-Yu Li, Ren-Hua Wang:
Double Gaussian based feature normalization for robust speech recognition. ISCSLP 2004: 253-256 - [c1]Wei Lai, Xiaodong Gu, Ren-Hua Wang, Li-Rong Dai, HongJiang Zhang:
Perceptual Video Streaming by Adaptive Spatial-temporal Scalability. PCM (2) 2004: 431-438
Coauthor Index
[j54] [j52] [c236] [c235] [j50] [j48] [j46] [j43] [c214] [j40] [c207] [c206] [c204] [i26] [i22] [i21] [j35] [c190] [c189] [c185] [i20] [i19] [j29] [c181] [c178] [c177] [c176] [c170] [i15] [i13] [j27] [j25] [j24] [j22] [c165] [c164] [c161] [c160] [c159] [i6] [i5] [i4] [j20] [j17] [c156] [c155] [c142] [c141] [c136] [j12] [c129] [c127] [c126] [c125] [c123] [c119] [c116] [c115] [c113] [j8] [c110] [c108] [c100] [c99] [c98] [c94] [c87] [c85] [c83] [c57]
[j41] [c207] [c206] [i26] [c197] [c196] [c194] [c190] [c189] [c185] [i20] [i19] [c179] [c172] [c171] [c158] [j15] [c120] [c118] [c109] [c106] [c105] [c90] [c89] [c82] [c77] [c74] [c72] [c70] [c69] [c67] [c65] [c62] [c58] [c52] [c51] [c46] [c44] [c43] [c42] [c41] [c39] [c38] [c37] [c29] [c27] [c26] [c23]
Kong-Aik Lee
aka: Kong Aik Lee
aka: Kong Aik Lee
Zhen-Hua Ling
aka: Zhenhua Ling
aka: Zhenhua Ling
[i41] [j45] [c219] [c213] [j39] [j38] [c205] [c203] [i25] [i23] [j37] [c198] [c193] [c188] [c187] [c185] [i18] [i17] [i16] [j33] [j32] [j30] [j28] [c182] [c179] [c174] [c173] [i14] [i11] [i9] [i8] [c167] [c166] [c163] [j21] [j18] [c153] [c150] [c149] [c148] [c147] [c146] [c138] [j14] [c128] [c121] [c114] [j10] [j9] [j6] [c107] [c101] [c97] [c96] [c95] [c93] [c86] [c84] [c80] [c76] [j5] [c75] [c73] [c71] [c66] [c64] [c63] [c61] [c60] [j3] [c59] [c54] [c53] [c50] [c49] [c48] [c42] [c41] [c35] [c34] [c33] [c31] [c30] [c8]
Ian McLoughlin 0001
aka: Ian Vince McLoughlin
aka: Ian Vince McLoughlin
[c244] [c243] [c241] [i40] [i39] [j51] [c232] [c228] [c227] [c220] [j44] [c218] [c217] [c216] [c215] [j42] [c209] [c208] [c202] [c201] [c200] [j36] [c195] [c194] [c191] [c186] [j34] [j31] [c183] [c175] [c172] [c171] [c158] [c154] [c137] [c133] [c132] [c131] [c124] [c117] [c111] [c109] [c92] [c88] [c78]
[c243] [i40] [j51] [c232] [c228] [c227] [c220] [j44] [c218] [c217] [c216] [c215] [i28] [j42] [j41] [c209] [c208] [c202] [c201] [c200] [j36] [c199] [c197] [c196] [c195] [c194] [c191] [c186] [j34] [j31] [c184] [c183] [c175] [c172] [c171] [i10] [c158] [c154] [c133] [c132] [c131] [c124] [c117] [c111] [c109] [c92] [c88] [c78] [c77] [c76] [c74] [c70] [c68] [c55] [c47] [j2] [c36] [c25] [c24] [j1] [c22] [c21] [c20] [c19] [c18] [c17] [c16] [c15] [c14] [c13] [c12] [c11] [c10] [c9] [c6]
Ziqiang Zhang
aka: Zi-qiang Zhang
aka: Zi-qiang Zhang
Qiushi Zhu
aka: Qiu-Shi Zhu
aka: Qiu-Shi Zhu
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