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2020 – today
- 2024
[j3]Youyu Yan
, Jianguo Liu, Shenggang Yan, Siyuan Shen, Xiangang Li:
An Effective Magnetic Anomaly Detection Using Orthonormal Basis of Magnetic Gradient Tensor Invariants. IEEE Trans. Geosci. Remote. Sens. 62: 1-11 (2024)- [c57]Guan Wang, Sijie Cheng, Xianyuan Zhan, Xiangang Li, Sen Song, Yang Liu:
OpenChat: Advancing Open-source Language Models with Mixed-Quality Data. ICLR 2024 - 2023
- [j2]Youyu Yan, Shenggang Yan, Jianguo Liu, Xiangang Li, Siyuan Shen:
A Compensation Method in Magnetic Distortion Through Regularized Inverse Problems. IEEE Trans. Instrum. Meas. 72: 1-8 (2023) - [c56]Chenxiao Dou, Xianghui Sun, Yaoshu Wang, Yunjie Ji, Baochang Ma, Xiangang Li:
Domain-Adapted Dependency Parsing for Cross-Domain Named Entity Recognition. AAAI 2023: 12737-12744 - [c55]Linzhi Huang, Yulong Li, Hongbo Tian, Yue Yang, Xiangang Li, Weihong Deng, Jieping Ye:
Semi-Supervised 2D Human Pose Estimation Driven by Position Inconsistency Pseudo Label Correction Module. CVPR 2023: 693-703 - [i33]Linzhi Huang, Yulong Li, Hongbo Tian, Yue Yang, Xiangang Li, Weihong Deng, Jieping Ye:
Semi-Supervised 2D Human Pose Estimation Driven by Position Inconsistency Pseudo Label Correction Module. CoRR abs/2303.04346 (2023) - [i32]Yunjie Ji, Yan Gong, Yiping Peng, Chao Ni, Peiyan Sun, Dongyu Pan, Baochang Ma, Xiangang Li:
Exploring ChatGPT's Ability to Rank Content: A Preliminary Study on Consistency with Human Preferences. CoRR abs/2303.07610 (2023) - [i31]Yunjie Ji, Yong Deng, Yan Gong, Yiping Peng, Qiang Niu, Lei Zhang, Baochang Ma, Xiangang Li:
Exploring the Impact of Instruction Data Scaling on Large Language Models: An Empirical Study on Real-World Use Cases. CoRR abs/2303.14742 (2023) - [i30]Hongbo Tian, Yulong Li, Linzhi Huang, Yue Yang, Xiangang Li, Weihong Deng:
CornerFormer: Boosting Corner Representation for Fine-Grained Structured Reconstruction. CoRR abs/2304.07072 (2023) - [i29]Yunjie Ji, Yan Gong, Yong Deng, Yiping Peng, Qiang Niu, Baochang Ma, Xiangang Li:
Towards Better Instruction Following Language Models for Chinese: Investigating the Impact of Training Data and Evaluation. CoRR abs/2304.07854 (2023) - [i28]Xianghui Sun, Yunjie Ji, Baochang Ma, Xiangang Li:
A Comparative Study between Full-Parameter and LoRA-based Fine-Tuning on Chinese Instruction Data for Instruction Following Large Language Model. CoRR abs/2304.08109 (2023) - [i27]Guan Wang, Sijie Cheng, Xianyuan Zhan, Xiangang Li, Sen Song, Yang Liu:
OpenChat: Advancing Open-source Language Models with Mixed-Quality Data. CoRR abs/2309.11235 (2023) - 2022
- [c54]Cheng Wen, Tingwei Guo, Xingjun Tan, Rui Yan, Shuran Zhou, Chuandong Xie, Wei Zou, Xiangang Li:
Time Domain Adversarial Voice Conversion for ADD 2022. ICASSP 2022: 9221-9225 - [c53]Rui Yan, Cheng Wen, Shuran Zhou, Tingwei Guo, Wei Zou, Xiangang Li:
Audio Deepfake Detection System with Neural Stitching for ADD 2022. ICASSP 2022: 9226-9230 - [c52]Yanguang Xu, Jianwei Sun, Yang Han, Shuaijiang Zhao, Chaoyang Mei, Tingwei Guo, Shuran Zhou, Chuandong Xie, Wei Zou, Xiangang Li:
Audio-Visual Wake Word Spotting System for MISP Challenge 2021. ICASSP 2022: 9246-9250 - [c51]Yunjie Ji, Liangyu Chen, Chenxiao Dou, Baochang Ma, Xiangang Li:
To Answer or Not To Answer? Improving Machine Reading Comprehension Model with Span-based Contrastive Learning. NAACL-HLT (Findings) 2022: 1292-1300 - [c50]Yong Deng, Chenxiao Dou, Liangyu Chen, Deqiang Miao, Xianghui Sun, Baochang Ma, Xiangang Li:
BEIKE NLP at SemEval-2022 Task 4: Prompt-Based Paragraph Classification for Patronizing and Condescending Language Detection. SemEval@NAACL 2022: 319-323 - [i26]Yanguang Xu, Jianwei Sun, Yang Han, Shuaijiang Zhao, Chaoyang Mei, Tingwei Guo, Shuran Zhou, Chuandong Xie, Wei Zou, Xiangang Li:
Audio-Visual Wake Word Spotting System For MISP Challenge 2021. CoRR abs/2204.08686 (2022) - [i25]Cheng Wen, Tingwei Guo, Xingjun Tan, Rui Yan, Shuran Zhou, Chuandong Xie, Wei Zou, Xiangang Li:
Time Domain Adversarial Voice Conversion for ADD 2022. CoRR abs/2204.08692 (2022) - [i24]Rui Yan, Cheng Wen, Shuran Zhou, Tingwei Guo, Wei Zou, Xiangang Li:
Audio Deep Fake Detection System with Neural Stitching for ADD 2022. CoRR abs/2204.08720 (2022) - [i23]Yunjie Ji, Liangyu Chen, Chenxiao Dou, Baochang Ma, Xiangang Li:
To Answer or Not to Answer? Improving Machine Reading Comprehension Model with Span-based Contrastive Learning. CoRR abs/2208.01299 (2022) - [i22]Yong Deng, Chenxiao Dou, Liangyu Chen, Deqiang Miao, Xianghui Sun, Baochang Ma, Xiangang Li:
BEIKE NLP at SemEval-2022 Task 4: Prompt-Based Paragraph Classification for Patronizing and Condescending Language Detection. CoRR abs/2208.01312 (2022) - 2021
- [c49]Dongwei Jiang, Wubo Li, Ruixiong Zhang, Miao Cao, Ne Luo, Yang Han, Wei Zou, Kun Han, Xiangang Li:
A Further Study of Unsupervised Pretraining for Transformer Based Speech Recognition. ICASSP 2021: 6538-6542 - [c48]Ruixiong Zhang, Haiwei Wu, Wubo Li, Dongwei Jiang, Wei Zou, Xiangang Li:
Transformer Based Unsupervised Pre-Training for Acoustic Representation Learning. ICASSP 2021: 6933-6937 - [c47]Tingwei Guo, Cheng Wen, Dongwei Jiang, Ne Luo, Ruixiong Zhang, Shuaijiang Zhao, Wubo Li, Cheng Gong, Wei Zou, Kun Han, Xiangang Li:
Didispeech: A Large Scale Mandarin Speech Corpus. ICASSP 2021: 6968-6972 - [c46]Jianwei Sun, Zhiyuan Tang, Hengxin Yin, Wei Wang, Xi Zhao, Shuaijiang Zhao, Xiaoning Lei, Wei Zou, Xiangang Li:
Semantic Data Augmentation for End-to-End Mandarin Speech Recognition. Interspeech 2021: 1269-1273 - [c45]Dongwei Jiang, Wubo Li, Miao Cao, Wei Zou, Xiangang Li:
Speech SimCLR: Combining Contrastive and Reconstruction Objective for Self-Supervised Speech Representation Learning. Interspeech 2021: 1544-1548 - [c44]Guoguo Chen, Shuzhou Chai, Guan-Bo Wang, Jiayu Du, Wei-Qiang Zhang, Chao Weng, Dan Su, Daniel Povey, Jan Trmal, Junbo Zhang, Mingjie Jin, Sanjeev Khudanpur, Shinji Watanabe, Shuaijiang Zhao, Wei Zou, Xiangang Li, Xuchen Yao, Yongqing Wang, Zhao You, Zhiyong Yan:
GigaSpeech: An Evolving, Multi-Domain ASR Corpus with 10, 000 Hours of Transcribed Audio. Interspeech 2021: 3670-3674 - [c43]Meng Ge, Ruixiong Zhang, Wei Zou, Xiangang Li, Cheng Gong, Longbiao Wang, Jianwu Dang:
Order-aware Pairwise Intoxication Detection. ISCSLP 2021: 1-5 - [c42]Zhiyuan Tang, Dong Wang, Yanguang Xu, Jianwei Sun, Xiaoning Lei, Shuaijiang Zhao, Cheng Wen, Xingjun Tan, Chuandong Xie, Shuran Zhou, Rui Yan, Chenjia Lv, Yang Han, Wei Zou, Xiangang Li:
KeSpeech: An Open Source Speech Dataset of Mandarin and Its Eight Subdialects. NeurIPS Datasets and Benchmarks 2021 - [i21]Guoguo Chen, Shuzhou Chai, Guanbo Wang, Jiayu Du, Wei-Qiang Zhang, Chao Weng, Dan Su, Daniel Povey, Jan Trmal, Junbo Zhang, Mingjie Jin, Sanjeev Khudanpur, Shinji Watanabe, Shuaijiang Zhao, Wei Zou, Xiangang Li, Xuchen Yao, Yongqing Wang, Yujun Wang, Zhao You, Zhiyong Yan:
GigaSpeech: An Evolving, Multi-domain ASR Corpus with 10, 000 Hours of Transcribed Audio. CoRR abs/2106.06909 (2021) - 2020
- [c41]Chengyun Deng, Hui Song, Yi Zhang, Yongtao Sha, Xiangang Li:
DNN-based Mask Estimation Integrating Spectral and Spatial Features for Robust Beamforming. ICASSP 2020: 4647-4651 - [c40]Haiyang Xu, Yun Wang, Kun Han, Baochang Ma, Junwen Chen, Xiangang Li:
Selective Attention Encoders by Syntactic Graph Convolutional Networks for Document Summarization. ICASSP 2020: 8219-8223 - [c39]Chengyun Deng, Yi Zhang, Shiqian Ma, Yongtao Sha, Hui Song, Xiangang Li:
Conv-TasSAN: Separative Adversarial Network Based on Conv-TasNet. INTERSPEECH 2020: 2647-2651 - [c38]Zhuohuang Zhang, Chengyun Deng, Yi Shen, Donald S. Williamson, Yongtao Sha, Yi Zhang, Hui Song, Xiangang Li:
On Loss Functions and Recurrency Training for GAN-Based Speech Enhancement Systems. INTERSPEECH 2020: 3266-3270 - [c37]Wubo Li, Dongwei Jiang, Wei Zou, Xiangang Li:
TMT: A Transformer-Based Modal Translator for Improving Multimodal Sequence Representations in Audio Visual Scene-Aware Dialog. INTERSPEECH 2020: 3501-3505 - [c36]Yi Zhang, Chengyun Deng, Shiqian Ma, Yongtao Sha, Hui Song, Xiangang Li:
Generative Adversarial Network Based Acoustic Echo Cancellation. INTERSPEECH 2020: 3945-3949 - [c35]Tanfang Chen, Weiwei Wang, Wenyang Wei, Xing Shi, Xiangang Li, Jieping Ye, Kevin Knight:
DiDi's Machine Translation System for WMT2020. WMT@EMNLP 2020: 105-112 - [i20]Haiyang Xu, Yun Wang, Kun Han, Baochang Ma, Junwen Chen, Xiangang Li:
Selective Attention Encoders by Syntactic Graph Convolutional Networks for Document Summarization. CoRR abs/2003.08004 (2020) - [i19]Haiyang Xu, Yahao He, Kun Han, Junwen Chen, Xiangang Li:
Learning Syntactic and Dynamic Selective Encoding for Document Summarization. CoRR abs/2003.11173 (2020) - [i18]Haiyang Xu, Junwen Chen, Kun Han, Xiangang Li:
Adversarial Multi-Binary Neural Network for Multi-class Classification. CoRR abs/2003.11184 (2020) - [i17]Dongwei Jiang, Wubo Li, Ruixiong Zhang, Miao Cao, Ne Luo, Yang Han, Wei Zou, Xiangang Li:
A Further Study of Unsupervised Pre-training for Transformer Based Speech Recognition. CoRR abs/2005.09862 (2020) - [i16]Ruixiong Zhang, Haiwei Wu, Wubo Li, Dongwei Jiang, Wei Zou, Xiangang Li:
Transformer based unsupervised pre-training for acoustic representation learning. CoRR abs/2007.14602 (2020) - [i15]Zhuohuang Zhang, Chengyun Deng, Yi Shen, Donald S. Williamson, Yongtao Sha, Yi Zhang, Hui Song, Xiangang Li:
On Loss Functions and Recurrency Training for GAN-based Speech Enhancement Systems. CoRR abs/2007.14974 (2020) - [i14]Tanfang Chen, Weiwei Wang, Wenyang Wei, Xing Shi, Xiangang Li, Jieping Ye, Kevin Knight:
DiDi's Machine Translation System for WMT2020. CoRR abs/2010.08185 (2020) - [i13]Wubo Li, Dongwei Jiang, Wei Zou, Xiangang Li:
TMT: A Transformer-based Modal Translator for Improving Multimodal Sequence Representations in Audio Visual Scene-aware Dialog. CoRR abs/2010.10839 (2020) - [i12]Dongwei Jiang, Wubo Li, Miao Cao, Ruixiong Zhang, Wei Zou, Kun Han, Xiangang Li:
Speech SIMCLR: Combining Contrastive and Reconstruction Objective for Self-supervised Speech Representation Learning. CoRR abs/2010.13991 (2020)
2010 – 2019
- 2019
- [c34]Bin Liu, Shuai Nie, Wenju Liu, Hui Zhang, Xiangang Li, Changliang Li:
Deep Segment Attentive Embedding for Duration Robust Speaker Verification. APSIPA 2019: 822-826 - [c33]Ju Zhang, Shaotong Guo, Cheng Gong, Shuaiting Chen, Yuguang Wang, Longbiao Wang, Wei Zou, Xiangang Li:
The TJU-Didi-Huiyan system for Blizzard Challenge 2019. Blizzard Challenge 2019 - [c32]Meng Liu, Longbiao Wang, Jianwu Dang, Seiichi Nakagawa, Haotian Guan, Xiangang Li:
Replay Attack Detection Using Magnitude and Phase Information with Attention-based Adaptive Filters. ICASSP 2019: 6201-6205 - [c31]Jinxin Chang, Ruifang He, Haiyang Xu, Kun Han, Longbiao Wang, Xiangang Li, Jianwu Dang:
NVSRN: A Neural Variational Scaling Reasoning Network for Initiative Response Generation. ICDM 2019: 51-60 - [c30]Haiyang Xu, Yahao He, Kun Han, Junwen Chen, Xiangang Li:
Learning Syntactic and Dynamic Selective Encoding for Document Summarization. IJCNN 2019: 1-8 - [c29]Meng Ge, Longbiao Wang, Nan Li, Hao Shi, Jianwu Dang, Xiangang Li:
Environment-Dependent Attention-Driven Recurrent Convolutional Neural Network for Robust Speech Enhancement. INTERSPEECH 2019: 3153-3157 - [c28]Haiyang Xu, Hui Zhang, Kun Han, Yun Wang, Yiping Peng, Xiangang Li:
Learning Alignment for Multimodal Emotion Recognition from Speech. INTERSPEECH 2019: 3569-3573 - [i11]Kun Han, Junwen Chen, Hui Zhang, Haiyang Xu, Yiping Peng, Yun Wang, Ning Ding, Hui Deng, Yonghu Gao, Tingwei Guo, Yi Zhang, Yahao He, Baochang Ma, Yulong Zhou, Kangli Zhang, Chao Liu, Ying Lyu, Chenxi Wang, Cheng Gong, Yunbo Wang, Wei Zou, Hui Song, Xiangang Li:
DELTA: A DEep learning based Language Technology plAtform. CoRR abs/1908.01853 (2019) - [i10]Haiyang Xu, Hui Zhang, Kun Han, Yun Wang, Yiping Peng, Xiangang Li:
Learning Alignment for Multimodal Emotion Recognition from Speech. CoRR abs/1909.05645 (2019) - [i9]Dongwei Jiang, Xiaoning Lei, Wubo Li, Ne Luo, Yuxuan Hu, Wei Zou, Xiangang Li:
Improving Transformer-based Speech Recognition Using Unsupervised Pre-training. CoRR abs/1910.09932 (2019) - [i8]Ruixiong Zhang, Wei Zou, Xiangang Li:
Cross-task pre-training for acoustic scene classification. CoRR abs/1910.09935 (2019) - [i7]Wubo Li, Wei Zou, Xiangang Li:
TCT: A Cross-supervised Learning Method for Multimodal Sequence Representation. CoRR abs/1911.05186 (2019) - 2018
- [c27]Fengyu Guo, Ruifang He, Di Jin, Jianwu Dang, Longbiao Wang, Xiangang Li:
Implicit Discourse Relation Recognition using Neural Tensor Network with Interactive Attention and Sparse Learning. COLING 2018: 547-558 - [c26]Ruifang He, Xuefei Zhang, Di Jin, Longbiao Wang, Jianwu Dang, Xiangang Li:
Interaction-Aware Topic Model for Microblog Conversations through Network Embedding and User Attention. COLING 2018: 1398-1409 - [c25]Dongbo Li, Longbiao Wang, Jianwu Dang, Meng Liu, Zeyan Oo, Seiichi Nakagawa, Haotian Guan, Xiangang Li:
Multiple Phase Information Combination for Replay Attacks Detection. INTERSPEECH 2018: 656-660 - [c24]Lili Guo, Longbiao Wang, Jianwu Dang, Linjuan Zhang, Haotian Guan, Xiangang Li:
Speech Emotion Recognition by Combining Amplitude and Phase Information Using Convolutional Neural Network. INTERSPEECH 2018: 1611-1615 - [c23]Meng Ge, Longbiao Wang, Seiichi Nakagawa, Yuta Kawakami, Jianwu Dang, Xiangang Li:
Pitch Synchronized Relative Phase with Peak Error Detection For Noise-robust Speaker Recognition. ISCSLP 2018: 156-160 - [c22]Wei Zou, Dongwei Jiang, Shuaijiang Zhao, Guilin Yang, Xiangang Li:
Comparable Study Of Modeling Units For End-To-End Mandarin Speech Recognition. ISCSLP 2018: 369-373 - [c21]Dongwei Jiang, Wei Zou, Shuaijiang Zhao, Guilin Yang, Xiangang Li:
An Analysis of Decoding for Attention-Based End-to-End Mandarin Speech Recognition. ISCSLP 2018: 384-388 - [i6]Wei Zou, Dongwei Jiang, Shuaijiang Zhao, Xiangang Li:
A comparable study of modeling units for end-to-end Mandarin speech recognition. CoRR abs/1805.03832 (2018) - [i5]Ne Luo, Dongwei Jiang, Shuaijiang Zhao, Caixia Gong, Wei Zou, Xiangang Li:
Towards End-to-End Code-Switching Speech Recognition. CoRR abs/1810.13091 (2018) - 2017
- [c20]Hairong Liu, Zhenyao Zhu, Xiangang Li, Sanjeev Satheesh:
Gram-CTC: Automatic Unit Selection and Target Decomposition for Sequence Labelling. ICML 2017: 2188-2197 - [i4]Hairong Liu, Zhenyao Zhu, Xiangang Li, Sanjeev Satheesh:
Gram-CTC: Automatic Unit Selection and Target Decomposition for Sequence Labelling. CoRR abs/1703.00096 (2017) - [i3]Chao Li, Xiaokong Ma, Bing Jiang, Xiangang Li, Xuewei Zhang, Xiao Liu, Ying Cao, Ajay Kannan, Zhenyao Zhu:
Deep Speaker: an End-to-End Neural Speaker Embedding System. CoRR abs/1705.02304 (2017) - 2016
- [c19]Dario Amodei, Sundaram Ananthanarayanan, Rishita Anubhai, Jingliang Bai, Eric Battenberg, Carl Case, Jared Casper, Bryan Catanzaro, Jingdong Chen, Mike Chrzanowski, Adam Coates, Greg Diamos, Erich Elsen, Jesse H. Engel, Linxi Fan, Christopher Fougner, Awni Y. Hannun, Billy Jun, Tony Han, Patrick LeGresley, Xiangang Li, Libby Lin, Sharan Narang, Andrew Y. Ng, Sherjil Ozair, Ryan Prenger, Sheng Qian, Jonathan Raiman, Sanjeev Satheesh, David Seetapun, Shubho Sengupta, Chong Wang, Yi Wang, Zhiqian Wang, Bo Xiao, Yan Xie, Dani Yogatama, Jun Zhan, Zhenyao Zhu:
Deep Speech 2 : End-to-End Speech Recognition in English and Mandarin. ICML 2016: 173-182 - [i2]Xiangang Li, Xihong Wu:
Long Short-Term Memory based Convolutional Recurrent Neural Networks for Large Vocabulary Speech Recognition. CoRR abs/1610.03165 (2016) - 2015
- [j1]Xiangang Li, Yuning Yang, Zaihu Pang, Xihong Wu:
A comparative study on selecting acoustic modeling units in deep neural networks based large vocabulary Chinese speech recognition. Neurocomputing 170: 251-256 (2015) - [c18]Yi Liu, Jing Hua, Xiangang Li, Tong Fu, Xihong Wu:
Chinese syllable-to-character conversion with recurrent neural network based supervised sequence labelling. APSIPA 2015: 350-353 - [c17]Tong Fu, Yang Han, Xiangang Li, Yi Liu, Xihong Wu:
Integrating prosodic information into recurrent neural network language model for speech recognition. APSIPA 2015: 1194-1197 - [c16]Xiangang Li, Xihong Wu:
Constructing long short-term memory based deep recurrent neural networks for large vocabulary speech recognition. ICASSP 2015: 4520-4524 - [c15]Xiangang Li, Xihong Wu:
Improving long short-term memory networks using maxout units for large vocabulary speech recognition. ICASSP 2015: 4600-4604 - [c14]Xiangang Li, Xihong Wu:
Modeling speaker variability using long short-term memory networks for speech recognition. INTERSPEECH 2015: 1086-1090 - [c13]Xiangang Li, Xihong Wu:
Long short-term memory based convolutional recurrent neural networks for large vocabulary speech recognition. INTERSPEECH 2015: 3219-3223 - [c12]Xiangang Li, Xihong Wu:
I-vector dependent feature space transformations for adaptive speech recognition. INTERSPEECH 2015: 3635-3639 - 2014
- [c11]Yang Han, Chenwei Zhang, Xiangang Li, Yi Liu, Xihong Wu:
Query-based composition for large-scale language model in LVCSR. ICASSP 2014: 4898-4902 - [c10]Xiangang Li, Xihong Wu:
Labeling unsegmented sequence data with DNN-HMM and its application for speech recognition. ISCSLP 2014: 10-14 - [c9]Yi Liu, Xiangang Li, Xihong Wu:
Error-driven pronunciation dictionary construction for Mandarin speech recognition. ISCSLP 2014: 88-92 - [c8]Xiangang Li, Xihong Wu:
Decision tree based state tying for speech recognition using DNN derived embeddings. ISCSLP 2014: 123-127 - [c7]Caixia Gong, Xiangang Li, Xihong Wu:
Recurrent neural network language model with part-of-speech for Mandarin speech recognition. ISCSLP 2014: 459-463 - [i1]Xiangang Li, Xihong Wu:
Constructing Long Short-Term Memory based Deep Recurrent Neural Networks for Large Vocabulary Speech Recognition. CoRR abs/1410.4281 (2014) - 2013
- [c6]Caixia Gong, Xiangang Li, Xihong Wu:
The effect of part-of-speech on Mandarin speech recognition. APSIPA 2013: 1-4 - [c5]Xiangang Li, Caifu Hong, Yuning Yang, Xihong Wu:
Deep neural networks for syllable based acoustic modeling in Chinese speech recognition. APSIPA 2013: 1-4 - [c4]Yansuo Yu, Fengyun Zhu, Xiangang Li, Yi Liu, Jun Zou, Yuning Yang, Guilin Yang, Ziye Fan, Xihong Wu:
Overview of SHRC-Ginkgo speech synthesis system for Blizzard Challenge 2013. Blizzard Challenge 2013 - [c3]Xiangang Li, Yuning Yang, Xihong Wu:
A Comparative Study on Selecting Acoustic Modeling Units in Deep Neural Networks Based Large Vocabulary Chinese Speech Recognition. IScIDE 2013: 473-480 - 2012
- [c2]Xiangang Li, Dan Su, Zaihu Pang, Xihong Wu:
Probabilistic Speaker-Class based Acoustic Modeling for Large Vocabulary Continuous Speech Recognition. INTERSPEECH 2012: 1219-1222 - [c1]Xiangang Li, Zaihu Pang, Xihong Wu:
Lightly Supervised Acoustic Model Training for Mandarin Continuous Speech Recognition. IScIDE 2012: 727-734
Coauthor Index
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