fleurs-sw ke.train.39ae96a650707f510be995216317773ffe364f287883878189430152c489f9a4
fleurs-sw ke.train.39ae96a650707f510be995216317773ffe364f287883878189430152c489f9a4: 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
- 17.58
- sampling rate
- 16000
- media ready
- False