Gaussian density guided deep neural network for single-channel speech enhancement. - Li Chai 002; Jun Du 002; Yannan Wang (MLSP, 2017)

Error Modeling via Asymmetric Laplace Distribution for Deep Neural Network Based Single-Channel Speech Enhancement. - Li Chai 002; Jun Du 002; Chin-Hui Lee 001 (INTERSPEECH, 2018)

A Maximum Likelihood Approach to Masking-based Speech Enhancement Using Deep Neural Network. - Qing Wang 008; Jun Du 002; Li Chai 002; Li-Rong Dai 001; Chin-Hui Lee 001 (ISCSLP, 2018)

Acoustics-guided evaluation (AGE): a new measure for estimating performance of speech enhancement algorithms for robust ASR. - Li Chai 002; Jun Du 002; Chin-Hui Lee 001 (CoRR, 2018)

A LSTM-Based Joint Progressive Learning Framework for Simultaneous Speech Dereverberation and Denoising. - Xin Tang; Jun Du 002; Li Chai 002; Yannan Wang; Qing Wang 008; Chin-Hui Lee 001 (APSIPA, 2019)

KL-Divergence Regularized Deep Neural Network Adaptation for Low-Resource Speaker-Dependent Speech Enhancement. - Li Chai 002; Jun Du 002; Chin-Hui Lee 001 (INTERSPEECH, 2019)

A Cross-Entropy-Guided (CEG) Measure for Speech Enhancement Front-End Assessing Performances of Back-End Automatic Speech Recognition. - Li Chai 002; Jun Du 002; Chin-Hui Lee 001 (INTERSPEECH, 2019)

Acoustic Model Ensembling Using Effective Data Augmentation for CHiME-5 Challenge. - Feng Ma; Li Chai 002; Jun Du 002; Diyuan Liu; Zhongfu Ye; Chin-Hui Lee 001 (INTERSPEECH, 2019)

Using Generalized Gaussian Distributions to Improve Regression Error Modeling for Deep Learning-Based Speech Enhancement. - Li Chai 002; Jun Du 002; Qing-Feng Liu; Chin-Hui Lee 001 (IEEE ACM Trans. Audio Speech Lang. Process., 2019)

A Maximum Likelihood Approach to Multi-Objective Learning Using Generalized Gaussian Distributions for Dnn-Based Speech Enhancement. - Shutong Niu; Jun Du 002; Li Chai 002; Chin-Hui Lee 001 (ICASSP, 2020)

Geometry Constrained Progressive Learning for Lstm-Based Speech Enhancement. - Xin Tang; Jun Du 002; Li Chai 002; Yannan Wang; Qing Wang 008; Chin-Hui Lee 001 (ICASSP, 2020)

A Noise-Aware Memory-Attention Network Architecture for Regression-Based Speech Enhancement. - Yu-Xuan Wang; Jun Du 002; Li Chai 002; Chin-Hui Lee 001; Jia Pan (INTERSPEECH, 2020)

Device-Robust Acoustic Scene Classification Based on Two-Stage Categorization and Data Augmentation. - Hu Hu; Chao-Han Huck Yang; Xianjun Xia; Xue Bai; Xin Tang; Yajian Wang; Shutong Niu; Li Chai 002; Juanjuan Li; Hongning Zhu; Feng Bao; Yuanjun Zhao; et al. (CoRR, 2020)

A Two-Stage Approach to Device-Robust Acoustic Scene Classification. - Hu Hu; Chao-Han Huck Yang; Xianjun Xia; Xue Bai; Xin Tang; Yajian Wang; Shutong Niu; Li Chai 002; Juanjuan Li; Hongning Zhu; Feng Bao; Yuanjun Zhao; et al. (ICASSP, 2021)

A Maximum Likelihood Approach to SNR-Progressive Learning Using Generalized Gaussian Distribution for LSTM-Based Speech Enhancement. - Xiaoqi Zhang; Jun Du 002; Li Chai 002; Chin-Hui Lee 001 (Interspeech, 2021)

Acoustic Modeling for Multi-Array Conversational Speech Recognition in the Chime-6 Challenge. - Li Chai 002; Jun Du 002; Diyuan Liu; Yanhui Tu; Chin-Hui Lee 001 (SLT, 2021)

A Cross-Entropy-Guided Measure (CEGM) for Assessing Speech Recognition Performance and Optimizing DNN-Based Speech Enhancement. - Li Chai 002; Jun Du 002; Qing-Feng Liu; Chin-Hui Lee 001 (IEEE ACM Trans. Audio Speech Lang. Process., 2021)

An Experimental Study on Sound Event Localization and Detection Under Realistic Testing Conditions. - Shutong Niu; Jun Du 002; Qing Wang 008; Li Chai 002; Huaxin Wu; Zhaoxu Nian; Lei Sun 010; Yi Fang; Jia Pan; Chin-Hui Lee 001 (ICASSP, 2023)

Loss Function Design for DNN-Based Sound Event Localization and Detection on Low-Resource Realistic Data. - Qing Wang 008; Jun Du 002; Zhaoxu Nian; Shutong Niu; Li Chai 002; Huaxin Wu; Jia Pan; Chin-Hui Lee 001 (ICASSP, 2023)

Space-and-speaker-aware acoustic modeling with effective data augmentation for recognition of multi-array conversational speech. - Li Chai 002; Hang Chen 001; Jun Du 002; Qing-Feng Liu; Chin-Hui Lee 001 (Speech Commun., 2023)