3 papers
cs.CL2024
XCB: an effective contextual biasing approach to bias cross-lingual phrases in speech recognition
Xucheng Wan, Naijun Zheng, Kai Liu +1
Contextualized ASR models have been demonstrated to effectively improve the recognition accuracy of uncommon phrases when a predefined phrase list is available. However, these mode…
cs.SD2024
An efficient text augmentation approach for contextualized Mandarin speech recognition
Naijun Zheng, Xucheng Wan, Kai Liu +2
Although contextualized automatic speech recognition (ASR) systems are commonly used to improve the recognition of uncommon words, their effectiveness is hindered by the inherent l…
cs.CV2023
A Spatial-Temporal Transformer based Framework For Human Pose Assessment And Correction in Education Scenarios
Wenyang Hu, Kai Liu, Libin Liu +1
Human pose assessment and correction play a crucial role in applications across various fields, including computer vision, robotics, sports analysis, healthcare, and entertainment.…