DatasetLwaziANV

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Modelfacebook/omniASR-CTC-1BOpen6facebook/omniASR-CTC-300MOpen7facebook/omniASR-CTC-3BOpen5facebook/omniASR-LLM-1BOpen3facebook/omniASR-LLM-300MOpen5facebook/omniASR-LLM-3BOpen4facebook/omniASR-LLM-7BOpen3dsfsi/anv-whisper-large-v3-turbo-anv-zulOpen3dsfsi/anv-whisper-small-anv-zulu-first-batchOpen6openai/whisper-large-v3Open26openai/whisper-smallOpen32sitwala/whisper-large-anv-sotOpen48sitwala/whisper-large-v3-anv-sotOpen53sitwala/whisper-large-v3-turbo-anv-zul-150hOpen3sitwala/whisper-large-v3-turbo-anv-zul-250hOpen3sitwala/whisper-large-v3-turbo-anv-zul-50hOpen6

What did the model get wrong?

openai/whisper-large-v3Open   Example 21 of 100  ·  sample index 20

✅ What was actually said (isiZulu reference)
Yaziwakakhulunjengenyangayabantubesifazane,njengobauhulumeniwaseNinguzimuAfrikawaqokaumhlaziyisishiyagalolunyenjalongonyakaukuthubeiholidielisemthethwenilokubungazaabantubesifazaneeNingizimuAfrikajikelele.
🤖 What this model heard
Yaziwakakulunjengenyangayabantubesifazani,jengobauhulumeniwaseningizimoAfrikawakogaumlazisishiakalulunyenjaalongonyaga.Uguti,ubeiiholitielisemtetuenilukubungazaabantubesifazanieningizimoAfrikachigelele.
Correct
Wrong (different word)
Missed (skipped)
Extra (added)
5
Correct
19
Wrong
0
Missed
7
Extra
21%
Words right
1.083
WER
0.180
CER
23.50s
Duration
0.3s
Latency