| Paper ID | SPE-P22.1 |
| Paper Title |
IMPROVING PROPER NOUN RECOGNITION IN END-TO-END ASR BY CUSTOMIZATION OF THE MWER LOSS CRITERION |
| Authors |
Cal Peyser, Tara Sainath, Golan Pundak, Google, Inc., United States |
| Session | SPE-P22: Large Vocabulary Continuous Speech Recognition and Search |
| Location | On-Demand |
| Session Time: | Friday, 08 May, 15:15 - 17:15 |
| Presentation Time: | Friday, 08 May, 15:15 - 17:15 |
| Presentation |
Poster
|
| Topic |
Speech Processing: [SPE-LVCR] Large Vocabulary Continuous Recognition/Search |
| IEEE Xplore Open Preview |
Click here to view in IEEE Xplore |
| Virtual Presentation |
Click here to watch in the Virtual Conference |