MMGER: Multi-Modal and Multi-Granularity Generative Error Correction With LLM for Joint Accent and Speech Recognition
Author:
Affiliation:
1. ASLP Lab, School of Computer Science, Northwestern Polytechnical University, Xi'an, China
2. Huawei IIRC, Shenzhen, China
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Link
http://xplorestaging.ieee.org/ielx8/97/10380231/10607842.pdf?arnumber=10607842
Reference33 articles.
1. Automatic Channel Selection and Spatial Feature Integration for Multi-Channel Speech Recognition Across Various Array Topologies
2. Decoupling and Interacting Multi-Task Learning Network for Joint Speech and Accent Recognition
3. An Analysis of Incorporating an External Language Model into a Sequence-to-Sequence Model
4. Deliberation Model Based Two-Pass End-To-End Speech Recognition
5. Component Fusion: Learning Replaceable Language Model Component for End-to-end Speech Recognition System
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