Decoupling and Interacting Multi-Task Learning Network for Joint Speech and Accent Recognition

Author:

Shao Qijie1ORCID,Guo Pengcheng1ORCID,Yan Jinghao2ORCID,Hu Pengfei2ORCID,Xie Lei1ORCID

Affiliation:

1. Audio, Speech and Language Processing Group (ASLP), School of Computer Science, Northwestern Polytechnical University, Xi'an, China

2. Tencent Research, Beijing, China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Acoustics and Ultrasonics,Computer Science (miscellaneous),Computational Mathematics

Cited by 3 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. The USTC-Nercslip Systems for the ICMC-ASR Challenge;2024 IEEE International Conference on Acoustics, Speech, and Signal Processing Workshops (ICASSPW);2024-04-14

2. Effect of Face Masks on Automatic Speech Recognition Accuracy for Mandarin;Applied Sciences;2024-04-12

3. MMGER: Multi-Modal and Multi-Granularity Generative Error Correction With LLM for Joint Accent and Speech Recognition;IEEE Signal Processing Letters;2024

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