| Device-robust acoustic scene classification based on two-stage categorization and data augmentation H Hu, CHH Yang, X Xia, X Bai, X Tang, Y Wang, S Niu, L Chai, J Li, H Zhu, ... arXiv preprint arXiv:2007.08389, 2020 | 83 | 2020 |
| A cross-entropy-guided measure (CEGM) for assessing speech recognition performance and optimizing DNN-based speech enhancement L Chai, J Du, QF Liu, CH Lee IEEE/ACM Transactions on audio, speech, and language processing 29, 106-117, 2020 | 59 | 2020 |
| A two-stage approach to device-robust acoustic scene classification H Hu, CHH Yang, X Xia, X Bai, X Tang, Y Wang, S Niu, L Chai, J Li, H Zhu, ... ICASSP 2021-2021 IEEE International Conference on Acoustics, Speech and …, 2021 | 48 | 2021 |
| The nerc-slip system for sound event localization and detection of dcase2022 challenge Q Wang, L Chai, H Wu, Z Nian, S Niu, S Zheng, Y Wang, L Sun, Y Fang, ... DCASE2022 Challenge, Tech. Rep., 2022 | 37 | 2022 |
| Using generalized Gaussian distributions to improve regression error modeling for deep learning-based speech enhancement L Chai, J Du, QF Liu, CH Lee IEEE/ACM Transactions on Audio, Speech, and Language Processing 27 (12 …, 2019 | 29 | 2019 |
| An experimental study on sound event localization and detection under realistic testing conditions S Niu, J Du, Q Wang, L Chai, H Wu, Z Nian, L Sun, Y Fang, J Pan, CH Lee ICASSP 2023-2023 IEEE International Conference on Acoustics, Speech and …, 2023 | 22 | 2023 |
| Gaussian density guided deep neural network for single-channel speech enhancement L Chai, J Du, Y Wang 2017 IEEE 27th International Workshop on Machine Learning for Signal …, 2017 | 17 | 2017 |
| The USTC-NELSLIP systems for CHiME-6 challenge J Du, YH Tu, L Sun, L Chai, X Tang, MK He, F Ma, J Pan, JQ Gao, D Liu, ... CHiME-6 Workshop, Barcelona, Spain, 2020 | 15 | 2020 |
| Acoustic modeling for multi-array conversational speech recognition in the chime-6 challenge L Chai, J Du, DY Liu, YH Tu, CH Lee 2021 IEEE spoken language technology workshop (SLT), 912-918, 2021 | 8 | 2021 |
| Acoustics-guided evaluation (age): a new measure for estimating performance of speech enhancement algorithms for robust asr L Chai, J Du, CH Lee arXiv preprint arXiv:1811.11517, 2018 | 8 | 2018 |
| A LSTM-based joint progressive learning framework for simultaneous speech dereverberation and denoising X Tang, J Du, L Chai, Y Wang, Q Wang, CH Lee 2019 Asia-Pacific Signal and Information Processing Association Annual …, 2019 | 6 | 2019 |
| Acoustic Model Ensembling Using Effective Data Augmentation for CHiME-5 Challenge F Ma, L Chai, J Du, D Liu, Z Ye, CH Lee Proc. Interspeech 2019, 1258-1262, 2019 | 5 | 2019 |
| Loss function design for DNN-based sound event localization and detection on low-resource realistic data Q Wang, J Du, Z Nian, S Niu, L Chai, H Wu, J Pan, CH Lee ICASSP 2023-2023 IEEE International Conference on Acoustics, Speech and …, 2023 | 4 | 2023 |
| A maximum likelihood approach to multi-objective learning using generalized gaussian distributions for dnn-based speech enhancement ST Niu, J Du, L Chai, CH Lee ICASSP 2020-2020 IEEE International Conference on Acoustics, Speech and …, 2020 | 4 | 2020 |
| A Cross-Entropy-Guided (CEG) Measure for Speech Enhancement Front-End Assessing Performances of Back-End Automatic Speech Recognition. L Chai, J Du, CH Lee INTERSPEECH, 3431-3435, 2019 | 3 | 2019 |
| Error Modeling via Asymmetric Laplace Distribution for Deep Neural Network Based Single-Channel Speech Enhancement. L Chai, J Du, CH Lee INTERSPEECH, 3269-3273, 2018 | 3 | 2018 |
| Geometry Constrained Progressive Learning for Lstm-Based Speech Enhancement X Tang, J Du, L Chai, Y Wang, Q Wang, CH Lee ICASSP 2020-2020 IEEE International Conference on Acoustics, Speech and …, 2020 | 2 | 2020 |
| A Noise-Aware Memory-Attention Network Architecture for Regression-Based Speech Enhancement. YX Wang, J Du, L Chai, CH Lee, J Pan INTERSPEECH, 4501-4505, 2020 | 2 | 2020 |
| A maximum likelihood approach to masking-based speech enhancement using deep neural network Q Wang, J Du, L Chai, LR Dai, CH Lee 2018 11th International Symposium on Chinese Spoken Language Processing …, 2018 | 2 | 2018 |
| A Maximum Likelihood Approach to SNR-Progressive Learning Using Generalized Gaussian Distribution for LSTM-Based Speech Enhancement. X Zhang, J Du, L Chai, CH Lee Interspeech, 2701-2705, 2021 | 1 | 2021 |
Jun DuProfessor, NERC-SLIP, USTCכתובת אימייל מאומתת בדומיין ustc.edu.cn