DatasetLwaziANV

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Modelfacebook/omniASR-CTC-1BOpen3facebook/omniASR-CTC-300MOpen6facebook/omniASR-CTC-3BOpen3facebook/omniASR-CTC-7BOpen3facebook/omniASR-LLM-1BOpen5facebook/omniASR-LLM-300MOpen5facebook/omniASR-LLM-3BOpen3facebook/omniASR-LLM-7BOpen3aadel4/omniASR-CTC-1B-v2Open4aadel4/omniASR-CTC-300M-v2Open5badrex/w2v-bert-2.0-zulu-asrOpen3dsfsi/anv-whisper-large-v3-turbo-anv-zulOpen3dsfsi/anv-whisper-small-anv-zulu-first-batchOpen3facebook/mms-1b-allOpen4openai/whisper-large-v3Open18openai/whisper-smallOpen13sitwala/whisper-large-anv-sotOpen16sitwala/whisper-large-v3-anv-sotOpen15sitwala/whisper-large-v3-turbo-anv-zul-150hOpen3sitwala/whisper-large-v3-turbo-anv-zul-250hOpen3sitwala/whisper-large-v3-turbo-anv-zul-50hOpen3

What did the model get wrong?

facebook/omniASR-LLM-1BOpen   Example 86 of 100  ·  sample index 85

✅ What was actually said (isiZulu reference)
emvakokutholalezizinto,was-waseyocaba-cambalalaphansikwemithi.
🤖 What this model heard
emvakokutholaleziizintowasewaseyoqabaqambalalaphansikwemithi
Correct
Wrong (different word)
Missed (skipped)
Extra (added)
5
Correct
4
Wrong
0
Missed
1
Extra
56%
Words right
0.667
WER
0.114
CER
7.13s
Duration
0.4s
Latency