DatasetLwaziANV

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Modelfacebook/omniASR-CTC-1BOpen5facebook/omniASR-CTC-300MOpen10facebook/omniASR-CTC-3BOpen1facebook/omniASR-LLM-1BOpen2facebook/omniASR-LLM-300MOpen5facebook/omniASR-LLM-3BOpen1facebook/omniASR-LLM-7BOpen0dsfsi/anv-whisper-large-v3-turbo-anv-zulOpen4dsfsi/anv-whisper-small-anv-zulu-first-batchOpen6openai/whisper-large-v3Open36openai/whisper-smallOpen148sitwala/whisper-large-anv-sotOpen51sitwala/whisper-large-v3-anv-sotOpen56sitwala/whisper-large-v3-turbo-anv-zul-150hOpen4sitwala/whisper-large-v3-turbo-anv-zul-250hOpen7sitwala/whisper-large-v3-turbo-anv-zul-50hOpen5

What did the model get wrong?

dsfsi/anv-whisper-small-anv-zulu-first-batchOpen   Example 19 of 100  ·  sample index 18

✅ What was actually said (isiZulu reference)
Ngenxayokuthiiziphilincincizihlanganisainingileziphiliezingunongqamuzanazazozontathuizidlangalazempilolokhukwenzazingafani.IsidlangalasesithathuesiyiNswelandenisihlanganisazonkeiziphiliezingumangqamuzanakanyenezinanjazanenezinambiezingunongqamuzanaoyigciwane.
🤖 What this model heard
ngenxayokuthiiziphilincincizihlanganisainingileziphiliezingunongqamuzanazazozontathuizidlangalazempilolokhukwenzazingafayoisidlangalasesithathuesiyintswelandinisihlanganisazonkeiziphiliezingumangqamuzanakanyenezinanjazanenezinambi
Correct
Wrong (different word)
Missed (skipped)
Extra (added)
21
Correct
3
Wrong
2
Missed
1
Extra
81%
Words right
0.231
WER
0.130
CER
34.44s
Duration
0.1s
Latency