DatasetLwaziANV

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What did the model get wrong?

sitwala/whisper-large-v3-anv-sotOpen   Example 97 of 100  ·  sample index 96

✅ What was actually said (isiZulu reference)
[um]Ikusasalokubukaamafilimu,[um][?][um]kubahlinzekibe-T_Vbesathelayithi,[um]libonakalalincishisiwe.Ukuzebahlalebephambili[um]kufanelebakhuthazeizinsizakalo[um]ezihlanganisaukusakaza,futhibenzeizinhleloezithokozisayo.
🤖 What this model heard
ekesasalokeboramafilmkobahlengnzedibatvbasatshalletselebonakalalengweshesebeokutsebahlalebapambilieekefanelebakhuthazeezentsezangaloezihlanganisaokutsarazefotshebenseezentleloezethokeozesae
Correct
Wrong (different word)
Missed (skipped)
Extra (added)
0
Correct
27
Wrong
0
Missed
26
Extra
0%
Words right
1.963
WER
0.510
CER
24.02s
Duration
0.4s
Latency