DatasetLwaziANV

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Modelfacebook/omniASR-CTC-1BOpen13facebook/omniASR-CTC-300MOpen13facebook/omniASR-CTC-3BOpen12facebook/omniASR-LLM-1BOpen11facebook/omniASR-LLM-300MOpen10facebook/omniASR-LLM-3BOpen11facebook/omniASR-LLM-7BOpen11dsfsi/anv-whisper-large-v3-turbo-anv-zulOpen10dsfsi/anv-whisper-small-anv-zulu-first-batchOpen12openai/whisper-large-v3Open36openai/whisper-smallOpen444sitwala/whisper-large-anv-sotOpen62sitwala/whisper-large-v3-anv-sotOpen66sitwala/whisper-large-v3-turbo-anv-zul-150hOpen11sitwala/whisper-large-v3-turbo-anv-zul-250hOpen11sitwala/whisper-large-v3-turbo-anv-zul-50hOpen13

What did the model get wrong?

openai/whisper-smallOpen   Example 69 of 100  ·  sample index 68

✅ What was actually said (isiZulu reference)
[um]Isikhathisokulinda[um]kumshwalensewomngcwabosithintakakhuluukusebenzakahle.Umaumuntuethola[um]umshwalense,kudingekaisikhathingaphambikokuthiakwaziukufakaisicelo[um]sokukhokhelwa.Lokukuhlobene[um]nemigomoefananezimo[um]zokufakelwakwemali,[um]nokuhlinzekwa[um]kwezinsizakalo.
🤖 What this model heard
eeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeee
Correct
Wrong (different word)
Missed (skipped)
Extra (added)
0
Correct
37
Wrong
0
Missed
407
Extra
0%
Words right
12.000
WER
2.655
CER
31.08s
Duration
0.3s
Latency