"FLEURS: FEW-Shot Learning Evaluation of Universal Representations of Speech."

Alexis Conneau et al. (2022)

> Home

Details and statistics

DOI: 10.1109/SLT54892.2023.10023141

access: closed

type: Conference or Workshop Paper

metadata version: 2023-02-06

- view
  - electronic edition via DOI
  - unpaywalled version
  authority control:
- export record
  dblp key:
  - conf/slt/ConneauMKZADRRB22
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/conf/slt/ConneauMKZADRRB22
Alexis Conneau, Min Ma, Simran Khanuja, Yu Zhang, Vera Axelrod, Siddharth Dalmia, Jason Riesa, Clara Rivera, Ankur Bapna:
FLEURS: FEW-Shot Learning Evaluation of Universal Representations of Speech. SLT 2022: 798-805

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.