fleurs-sw ke.train.cc61bc9929fa9653e5f06c2af43096c2529946119f9eef1aaf86daeb9290628f
fleurs-sw ke.train.cc61bc9929fa9653e5f06c2af43096c2529946119f9eef1aaf86daeb9290628f: 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
- 24.6
- sampling rate
- 16000
- media ready
- False