fleurs-sw ke.train.987bed3dc5be8d0f4d88063298abb176fdc1211ad2707a16cfc290bdd7f5ebf7
fleurs-sw ke.train.987bed3dc5be8d0f4d88063298abb176fdc1211ad2707a16cfc290bdd7f5ebf7: 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
- 19.62
- sampling rate
- 16000
- media ready
- False