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ORCIDLi Chai 0002
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 Chai 0001
![[0000-0002-4331-0565]](https://dblp.uni-trier.de./img/orcid-mark.12x12.png "0000-0002-4331-0565")
— Wuhan University of Science and Technology, School of Information Science and Engineering, Department of Automatic Control, Engineering Research Center of Metallurgical Automation and Measurement Technology, Wuhan, China (and 3 more) - Li Chai 0003 — Lanzhou University of Technology, School of Electrical and Information Engineering, Lanzhou, China
- Li Chai 0004 — China Mobile, Beijing, China
- Li Chai 0005 — Shaanxi Human Resources and Social Security Department, Xi'an, China
- Li Chai 0006 — Inner Mongolia University, School of Mathematical Sciences, Hohhot, China
- Li Chai 0007 — Xihua University, School of Automobile and Transportation, Sichuan, China
- Li Chai 0008 — Zhejiang University, College of Control Science and Engineering, Hangzhou, China
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2020 – today
- 2023
[j3]Li Chai, Hang Chen, Jun Du, Qing-Feng Liu, Chin-Hui Lee:
Space-and-speaker-aware acoustic modeling with effective data augmentation for recognition of multi-array conversational speech. Speech Commun. 153: 102958 (2023)- [c15]Shutong Niu, Jun Du, Qing Wang, Li Chai, Huaxin Wu, Zhaoxu Nian, Lei Sun, Yi Fang, Jia Pan, Chin-Hui Lee:
An Experimental Study on Sound Event Localization and Detection Under Realistic Testing Conditions. ICASSP 2023: 1-5 - [c14]Qing Wang, Jun Du, Zhaoxu Nian, Shutong Niu, Li Chai, Huaxin Wu, Jia Pan, Chin-Hui Lee:
Loss Function Design for DNN-Based Sound Event Localization and Detection on Low-Resource Realistic Data. ICASSP 2023: 1-5 - 2021
- [j2]Li Chai, Jun Du, Qing-Feng Liu, Chin-Hui Lee:
A Cross-Entropy-Guided Measure (CEGM) for Assessing Speech Recognition Performance and Optimizing DNN-Based Speech Enhancement. IEEE ACM Trans. Audio Speech Lang. Process. 29: 106-117 (2021) - [c13]Hu Hu, Chao-Han Huck Yang, Xianjun Xia, Xue Bai, Xin Tang, Yajian Wang, Shutong Niu, Li Chai, Juanjuan Li, Hongning Zhu, Feng Bao, Yuanjun Zhao, Sabato Marco Siniscalchi, Yannan Wang, Jun Du, Chin-Hui Lee:
A Two-Stage Approach to Device-Robust Acoustic Scene Classification. ICASSP 2021: 845-849 - [c12]Xiaoqi Zhang, Jun Du, Li Chai, Chin-Hui Lee:
A Maximum Likelihood Approach to SNR-Progressive Learning Using Generalized Gaussian Distribution for LSTM-Based Speech Enhancement. Interspeech 2021: 2701-2705 - [c11]Li Chai, Jun Du, Diyuan Liu, Yanhui Tu, Chin-Hui Lee:
Acoustic Modeling for Multi-Array Conversational Speech Recognition in the Chime-6 Challenge. SLT 2021: 912-918 - 2020
- [c10]Shutong Niu, Jun Du, Li Chai, Chin-Hui Lee:
A Maximum Likelihood Approach to Multi-Objective Learning Using Generalized Gaussian Distributions for Dnn-Based Speech Enhancement. ICASSP 2020: 6229-6233 - [c9]Xin Tang, Jun Du, Li Chai, Yannan Wang, Qing Wang, Chin-Hui Lee:
Geometry Constrained Progressive Learning for Lstm-Based Speech Enhancement. ICASSP 2020: 7514-7518 - [c8]Yu-Xuan Wang, Jun Du, Li Chai, Chin-Hui Lee, Jia Pan:
A Noise-Aware Memory-Attention Network Architecture for Regression-Based Speech Enhancement. INTERSPEECH 2020: 4501-4505 - [i3]Hu Hu, Chao-Han Huck Yang, Xianjun Xia, Xue Bai, Xin Tang, Yajian Wang, Shutong Niu, Li Chai, Juanjuan Li, Hongning Zhu, Feng Bao, Yuanjun Zhao, Sabato Marco Siniscalchi, Yannan Wang, Jun Du, Chin-Hui Lee:
Device-Robust Acoustic Scene Classification Based on Two-Stage Categorization and Data Augmentation. CoRR abs/2007.08389 (2020) - [i2]Hu Hu, Chao-Han Huck Yang, Xianjun Xia, Xue Bai, Xin Tang, Yajian Wang, Shutong Niu, Li Chai, Juanjuan Li, Hongning Zhu, Feng Bao, Yuanjun Zhao, Sabato Marco Siniscalchi, Yannan Wang, Jun Du, Chin-Hui Lee:
A Two-Stage Approach to Device-Robust Acoustic Scene Classification. CoRR abs/2011.01447 (2020)
2010 – 2019
- 2019
- [j1]Li Chai, Jun Du, Qing-Feng Liu, Chin-Hui Lee:
Using Generalized Gaussian Distributions to Improve Regression Error Modeling for Deep Learning-Based Speech Enhancement. IEEE ACM Trans. Audio Speech Lang. Process. 27(12): 1919-1931 (2019) - [c7]Xin Tang, Jun Du, Li Chai, Yannan Wang, Qing Wang, Chin-Hui Lee:
A LSTM-Based Joint Progressive Learning Framework for Simultaneous Speech Dereverberation and Denoising. APSIPA 2019: 274-278 - [c6]Feng Ma, Li Chai, Jun Du, Diyuan Liu, Zhongfu Ye, Chin-Hui Lee:
Acoustic Model Ensembling Using Effective Data Augmentation for CHiME-5 Challenge. INTERSPEECH 2019: 1258-1262 - [c5]Li Chai, Jun Du, Chin-Hui Lee:
KL-Divergence Regularized Deep Neural Network Adaptation for Low-Resource Speaker-Dependent Speech Enhancement. INTERSPEECH 2019: 1806-1810 - [c4]Li Chai, Jun Du, Chin-Hui Lee:
A Cross-Entropy-Guided (CEG) Measure for Speech Enhancement Front-End Assessing Performances of Back-End Automatic Speech Recognition. INTERSPEECH 2019: 3431-3435 - 2018
- [c3]Li Chai, Jun Du, Chin-Hui Lee:
Error Modeling via Asymmetric Laplace Distribution for Deep Neural Network Based Single-Channel Speech Enhancement. INTERSPEECH 2018: 3269-3273 - [c2]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 - [i1]Li Chai, Jun Du, Chin-Hui Lee:
Acoustics-guided evaluation (AGE): a new measure for estimating performance of speech enhancement algorithms for robust ASR. CoRR abs/1811.11517 (2018) - 2017
- [c1]Li Chai, Jun Du, Yannan Wang:
Gaussian density guided deep neural network for single-channel speech enhancement. MLSP 2017: 1-6
Coauthor Index
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