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eess.AS2023
Incorporating Class-based Language Model for Named Entity Recognition in Factorized Neural Transducer
Peng Wang, Yifan Yang, Zheng Liang +3
Despite advancements of end-to-end (E2E) models in speech recognition, named entity recognition (NER) is still challenging but critical for semantic understanding. Previous studies…
eess.IV2023★ 1 cited
Multi-Modality Deep Network for Extreme Learned Image Compression
Xuhao Jiang, Weimin Tan, Tian Tan +2
Image-based single-modality compression learning approaches have demonstrated exceptionally powerful encoding and decoding capabilities in the past few years , but suffer from blur…