DatasetLwaziANV

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Modelfacebook/omniASR-CTC-1BOpen7facebook/omniASR-CTC-300MOpen6facebook/omniASR-CTC-3BOpen6facebook/omniASR-LLM-1BOpen5facebook/omniASR-LLM-300MOpen6facebook/omniASR-LLM-3BOpen5facebook/omniASR-LLM-7BOpen4dsfsi/anv-whisper-large-v3-turbo-anv-zulOpen5dsfsi/anv-whisper-small-anv-zulu-first-batchOpen5openai/whisper-large-v3Open29openai/whisper-smallOpen35sitwala/whisper-large-anv-sotOpen38sitwala/whisper-large-v3-anv-sotOpen43sitwala/whisper-large-v3-turbo-anv-zul-150hOpen4sitwala/whisper-large-v3-turbo-anv-zul-250hOpen5sitwala/whisper-large-v3-turbo-anv-zul-50hOpen6

What did the model get wrong?

sitwala/whisper-large-v3-anv-sotOpen   Example 46 of 100  ·  sample index 45

✅ What was actually said (isiZulu reference)
Manjeukudlulaekuqalenisizobhekaumfuthowentshayakithiwokusungulanokuqambaizintoukuzanezisombululozosizilokuswelakalakwemisebenziezizosizabona,nemiphakathiyabo.
🤖 What this model heard
mangokojlolaekoqalenesezopekaomfuthowengjayagatesokosongolanengokokangbaizengokozanezisombololozosezeleokoswelekaalakwemsebenseezizosezabonanemphakatsiyabo
Correct
Wrong (different word)
Missed (skipped)
Extra (added)
1
Correct
17
Wrong
0
Missed
26
Extra
6%
Words right
2.444
WER
0.440
CER
21.86s
Duration
0.3s
Latency