no code implementations • 13 Mar 2024 • Wenjing Zhu, Sining Sun, Changhao Shan, Peng Fan, Qing Yang
Conformer-based attention models have become the de facto backbone model for Automatic Speech Recognition tasks.
1 code implementation • 28 May 2023 • Hang Chen, Bingyu Liao, Jing Luo, Wenjing Zhu, Xinyu Yang
Reasoning, a crucial aspect of NLP research, has not been adequately addressed by prevailing models including Large Language Model.
1 code implementation • 4 May 2023 • Hang Chen, Jing Luo, Xinyu Yang, Wenjing Zhu
noise terms into the conversation process, thereby constructing a structural causal model (SCM).
no code implementations • 7 Mar 2023 • Zhaoxi Mu, Xinyu Yang, Wenjing Zhu
Specifically, we design a new network SE-Conformer that can model audio sequences in multiple dimensions and scales, and apply it to the dual-path speech separation framework.
no code implementations • 7 Mar 2023 • Zhaoxi Mu, Xinyu Yang, Xiangyuan Yang, Wenjing Zhu
In noisy and reverberant environments, the performance of deep learning-based speech separation methods drops dramatically because previous methods are not designed and optimized for such situations.
1 code implementation • 12 Apr 2022 • Wenjing Zhu, Xiang Li
Speech Emotion Recognition (SER) is a fundamental task to predict the emotion label from speech data.
1 code implementation • 19 Jan 2020 • Yi Wang, Yang Yang, Weiguo Zhu, Yi Wu, Xu Yan, Yongfeng Liu, Yu Wang, Liang Xie, Ziyao Gao, Wenjing Zhu, Xiang Chen, Wei Yan, Mingjie Tang, Yuan Tang
Previous database systems extended their SQL dialect to support ML.