DatasetLwaziANV

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Modelfacebook/omniASR-CTC-1BOpen13facebook/omniASR-CTC-300MOpen17facebook/omniASR-CTC-3BOpen17facebook/omniASR-LLM-1BOpen16facebook/omniASR-LLM-300MOpen19facebook/omniASR-LLM-3BOpen21facebook/omniASR-LLM-7BOpen8dsfsi/anv-whisper-large-v3-turbo-anv-zulOpen14dsfsi/anv-whisper-small-anv-zulu-first-batchOpen17openai/whisper-large-v3Open30openai/whisper-smallOpen32sitwala/whisper-large-anv-sotOpen53sitwala/whisper-large-v3-anv-sotOpen53sitwala/whisper-large-v3-turbo-anv-zul-150hOpen15sitwala/whisper-large-v3-turbo-anv-zul-250hOpen14sitwala/whisper-large-v3-turbo-anv-zul-50hOpen17

What did the model get wrong?

facebook/omniASR-LLM-1BOpen   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
amaambulancengicabangaukuthathathaisikhathiesideukufikangenxayezizatheniehheukuqalakungenzekakubeukuthikunokukhwabanisaemgwaqweninomaizimozezuluzimbiehheukusibiliehheamaambulanceangaseabekudenezindawoezifanele
Correct
Wrong (different word)
Missed (skipped)
Extra (added)
18
Correct
10
Wrong
4
Missed
2
Extra
56%
Words right
0.562
WER
0.210
CER
24.81s
Duration
1.5s
Latency