"JEIT: Joint End-to-End Model and Internal Language Model Training for ..."

Zhong Meng et al. (2023)

> Home

Details and statistics

DOI: 10.1109/ICASSP49357.2023.10095249

access: closed

type: Conference or Workshop Paper

metadata version: 2023-11-05

- view
  - electronic edition via DOI
  - unpaywalled version
  authority control:
- export record
  dblp key:
  - conf/icassp/MengWPSCVZLRR23
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/conf/icassp/MengWPSCVZLRR23
Zhong Meng, Weiran Wang, Rohit Prabhavalkar, Tara N. Sainath, Tongzhou Chen, Ehsan Variani, Yu Zhang, Bo Li, Andrew Rosenberg, Bhuvana Ramabhadran:
JEIT: Joint End-to-End Model and Internal Language Model Training for Speech Recognition. ICASSP 2023: 1-5

manage site settings

To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.