fleurs-sw ke.train.b525871cb9d2e173d53892df5353455fc9a022c5b9c6ad7ebd774fff9b6beae3
fleurs-sw ke.train.b525871cb9d2e173d53892df5353455fc9a022c5b9c6ad7ebd774fff9b6beae3: 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
- 17.88
- sampling rate
- 16000
- media ready
- False