fleurs-sw ke.train.2016d80a4c2bd4571320a2c65b9ccb028ef61aedf2bef6e955ce383549fe8387
fleurs-sw ke.train.2016d80a4c2bd4571320a2c65b9ccb028ef61aedf2bef6e955ce383549fe8387: train task in FineEnvs/fleurs-asr-env, an RL environment on the Hugging Face Hub. Transcribe this Swahili speech exactly as spoken, in Swahili, preserving capitalization, punctuation, and numerals. Return only the…
The task
Transcribe this Swahili speech exactly as spoken, in Swahili, preserving capitalization, punctuation, and numerals. Return only the transcription.
Task details
- language
- sw_ke
- language name
- Swahili
- family
- verbatim_transcription
- mime
- audio/wav
- duration seconds
- 17.28
- sampling rate
- 16000
- media ready
- False