DatasetLwaziANV

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Modelfacebook/omniASR-CTC-1BOpen5facebook/omniASR-CTC-300MOpen5facebook/omniASR-CTC-3BOpen3facebook/omniASR-LLM-1BOpen4facebook/omniASR-LLM-300MOpen2facebook/omniASR-LLM-3BOpen5facebook/omniASR-LLM-7BOpen1dsfsi/anv-whisper-large-v3-turbo-anv-zulOpen6dsfsi/anv-whisper-small-anv-zulu-first-batchOpen9openai/whisper-large-v3Open29openai/whisper-smallOpen30sitwala/whisper-large-anv-sotOpen61sitwala/whisper-large-v3-anv-sotOpen58sitwala/whisper-large-v3-turbo-anv-zul-150hOpen9sitwala/whisper-large-v3-turbo-anv-zul-250hOpen9sitwala/whisper-large-v3-turbo-anv-zul-50hOpen8

What did the model get wrong?

dsfsi/anv-whisper-small-anv-zulu-first-batchOpen   Example 9 of 100  ·  sample index 8

✅ What was actually said (isiZulu reference)
IsingenisonencazelonjengobayethulwenguSmithithi-IzwiLokuhlakanipha,ukuzekusizakaleumkhandluwabaphristiabakhulu,owawubutheneeKirtland,kanyenebandla,kanyenabangcwelebaseSiyoni.Bazothunyelwaimikhonzo,hhayingomyalonomaukuphoqelelwa,kodwangesambulonangezwilokuhlakanipha.
🤖 What this model heard
isingenisonengcazelonjengobayethulwengusmithethiizwilokuhlakaniphaukuzekusizakaleumkhandluwabapristiabakhuluowawubutheneekeadlandkanyenebandlakanyenabangcwelebasisiyonibazothunyelwaimikhonzohhayingomyalonomaukuphoqelelwa
Correct
Wrong (different word)
Missed (skipped)
Extra (added)
21
Correct
5
Wrong
4
Missed
0
Extra
70%
Words right
0.467
WER
0.193
CER
34.83s
Duration
0.1s
Latency