fleurs-sw ke.train.2018ba3cf042a8f9fc74f08caec988912b60391bb5c19727279794b6efe16a33
fleurs-sw ke.train.2018ba3cf042a8f9fc74f08caec988912b60391bb5c19727279794b6efe16a33: 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
- 26.4
- sampling rate
- 16000
- media ready
- False