JEIT: Joint End-to-End Model and Internal Language Model Training for Speech Recognition

Author:

Meng Zhong1,Wang Weiran1,Prabhavalkar Rohit1,Sainath Tara N.1,Chen Tongzhou1,Variani Ehsan1,Zhang Yu1,Li Bo1,Rosenberg Andrew1,Ramabhadran Bhuvana1

Affiliation:

1. Google LLC,USA

Publisher

IEEE

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. Effective Internal Language Model Training and Fusion for Factorized Transducer Model;ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP);2024-04-14

2. Improving Large-Scale Deep Biasing With Phoneme Features and Text-Only Data in Streaming Transducer;2023 IEEE Automatic Speech Recognition and Understanding Workshop (ASRU);2023-12-16

3. ED-CEC: Improving Rare word Recognition Using ASR Postprocessing Based on Error Detection and Context-Aware Error Correction;2023 IEEE Automatic Speech Recognition and Understanding Workshop (ASRU);2023-12-16

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