DatasetLwaziANV

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Modelfacebook/omniASR-CTC-1BOpen2facebook/omniASR-CTC-300MOpen5facebook/omniASR-CTC-3BOpen1facebook/omniASR-LLM-1BOpen2facebook/omniASR-LLM-300MOpen1facebook/omniASR-LLM-3BOpen2facebook/omniASR-LLM-7BOpen1dsfsi/anv-whisper-large-v3-turbo-anv-zulOpen1dsfsi/anv-whisper-small-anv-zulu-first-batchOpen5openai/whisper-large-v3Open29openai/whisper-smallOpen29sitwala/whisper-large-anv-sotOpen41sitwala/whisper-large-v3-anv-sotOpen41sitwala/whisper-large-v3-turbo-anv-zul-150hOpen0sitwala/whisper-large-v3-turbo-anv-zul-250hOpen1sitwala/whisper-large-v3-turbo-anv-zul-50hOpen1

What did the model get wrong?

facebook/omniASR-LLM-300MOpen   Example 45 of 100  ·  sample index 44

✅ What was actually said (isiZulu reference)
"Kukhonaingcosanayalaboabaphilanokukhubazekaekwaziyoukwenzakahlekulezozikoleezijwayelekile.Ngokuqhubekanokufunda,ukwesekelwakanyenesineke,abafundibengaqhakaza."
🤖 What this model heard
kukhonaingcosanayalaboabaphilanokukhubazekaekwaziyoukwenzakahlekulezozikoleezijwayelekilengokuqhubekanokufundaukwesekelwakanyenesinekeabafundibengaqhakazi
Correct
Wrong (different word)
Missed (skipped)
Extra (added)
17
Correct
1
Wrong
0
Missed
0
Extra
94%
Words right
0.278
WER
0.040
CER
22.05s
Duration
2.6s
Latency