Li Chai
Orcid: 0000-0001-7906-9913Affiliations:
- University of Science and Technology of China, National Engineering Laboratory for Speech and Language Information Processing, Hefei, China
According to our database1,
Li Chai
authored at least 20 papers
between 2017 and 2023.
Collaborative distances:
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Bibliography
2023
Space-and-speaker-aware acoustic modeling with effective data augmentation for recognition of multi-array conversational speech.
Speech Commun., September, 2023
Loss Function Design for DNN-Based Sound Event Localization and Detection on Low-Resource Realistic Data.
Proceedings of the IEEE International Conference on Acoustics, 2023
An Experimental Study on Sound Event Localization and Detection Under Realistic Testing Conditions.
Proceedings of the IEEE International Conference on Acoustics, 2023
2021
A Cross-Entropy-Guided Measure (CEGM) for Assessing Speech Recognition Performance and Optimizing DNN-Based Speech Enhancement.
IEEE ACM Trans. Audio Speech Lang. Process., 2021
Acoustic Modeling for Multi-Array Conversational Speech Recognition in the Chime-6 Challenge.
Proceedings of the IEEE Spoken Language Technology Workshop, 2021
A Maximum Likelihood Approach to SNR-Progressive Learning Using Generalized Gaussian Distribution for LSTM-Based Speech Enhancement.
Proceedings of the Interspeech 2021, 22nd Annual Conference of the International Speech Communication Association, Brno, Czechia, 30 August, 2021
Proceedings of the IEEE International Conference on Acoustics, 2021
2020
Device-Robust Acoustic Scene Classification Based on Two-Stage Categorization and Data Augmentation.
CoRR, 2020
A Noise-Aware Memory-Attention Network Architecture for Regression-Based Speech Enhancement.
Proceedings of the Interspeech 2020, 2020
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020
A Maximum Likelihood Approach to Multi-Objective Learning Using Generalized Gaussian Distributions for Dnn-Based Speech Enhancement.
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020
2019
Using Generalized Gaussian Distributions to Improve Regression Error Modeling for Deep Learning-Based Speech Enhancement.
IEEE ACM Trans. Audio Speech Lang. Process., 2019
Proceedings of the Interspeech 2019, 2019
A Cross-Entropy-Guided (CEG) Measure for Speech Enhancement Front-End Assessing Performances of Back-End Automatic Speech Recognition.
Proceedings of the Interspeech 2019, 2019
KL-Divergence Regularized Deep Neural Network Adaptation for Low-Resource Speaker-Dependent Speech Enhancement.
Proceedings of the Interspeech 2019, 2019
A LSTM-Based Joint Progressive Learning Framework for Simultaneous Speech Dereverberation and Denoising.
Proceedings of the 2019 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, 2019
2018
Acoustics-guided evaluation (AGE): a new measure for estimating performance of speech enhancement algorithms for robust ASR.
CoRR, 2018
A Maximum Likelihood Approach to Masking-based Speech Enhancement Using Deep Neural Network.
Proceedings of the 11th International Symposium on Chinese Spoken Language Processing, 2018
Error Modeling via Asymmetric Laplace Distribution for Deep Neural Network Based Single-Channel Speech Enhancement.
Proceedings of the Interspeech 2018, 2018
2017
Proceedings of the 27th IEEE International Workshop on Machine Learning for Signal Processing, 2017