DatasetLwaziANV

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Modelfacebook/omniASR-CTC-1BOpen11facebook/omniASR-CTC-300MOpen10facebook/omniASR-CTC-3BOpen11facebook/omniASR-LLM-1BOpen10facebook/omniASR-LLM-300MOpen11facebook/omniASR-LLM-3BOpen9facebook/omniASR-LLM-7BOpen8dsfsi/anv-whisper-large-v3-turbo-anv-zulOpen10dsfsi/anv-whisper-small-anv-zulu-first-batchOpen10openai/whisper-large-v3Open23openai/whisper-smallOpen24sitwala/whisper-large-anv-sotOpen38sitwala/whisper-large-v3-anv-sotOpen36sitwala/whisper-large-v3-turbo-anv-zul-150hOpen11sitwala/whisper-large-v3-turbo-anv-zul-250hOpen10sitwala/whisper-large-v3-turbo-anv-zul-50hOpen12

What did the model get wrong?

sitwala/whisper-large-anv-sotOpen   Example 87 of 100  ·  sample index 86

✅ What was actually said (isiZulu reference)
[um]Intshainemithwaloyemfanelo[um]yokugcinaulwaziolunembile[um]nokufundisaabanye[um]nokukhuthaza[um]ukuxhumanaokuhleekumele[um]baziqhenyengendlela[um]zokuhambisaulwaziolufanele
🤖 What this model heard
eentjhaenemthwaloenfaneloeotlenaolwaziolnenbeleenokofondisaabanyoenorokothazaeooqlomanohohleegomeleebatlhehenyenkentlelaazokangbesaolwaziolfanela
Correct
Wrong (different word)
Missed (skipped)
Extra (added)
0
Correct
24
Wrong
0
Missed
14
Extra
0%
Words right
1.583
WER
0.457
CER
20.45s
Duration
0.4s
Latency