DatasetLwaziANV

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What did the model get wrong?

sitwala/whisper-large-v3-anv-sotOpen   Example 74 of 100  ·  sample index 73

✅ What was actually said (isiZulu reference)
[um]Ama-ambulensingicabangaukuthiathathaisikhathiesideukufikangenxayezizathuey'ningi.Eyokuqalakungenzeka[?]kubeukuthi[um]kunokukhwabanisaemgaqweni,nomaizimozezuluzimbi.Okwesibili[um]ama-ambulensiangaseabekudenezindawo[um]ezifanele.
🤖 What this model heard
amaambulancekeqabankotshwatsisekatshehetseteofirankengnqwaezetsatshenengoqalankengzekaobehokotsieeonokgwabanisengkaqwengnomaezimozzuluzengosebileamaambulanceankaseabekutengnengzengdaoezfanela
Correct
Wrong (different word)
Missed (skipped)
Extra (added)
0
Correct
32
Wrong
0
Missed
21
Extra
0%
Words right
1.656
WER
0.534
CER
24.81s
Duration
0.9s
Latency