DatasetLwaziANV

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Modelfacebook/omniASR-CTC-1BOpen1facebook/omniASR-CTC-300MOpen3facebook/omniASR-CTC-3BOpen3facebook/omniASR-LLM-1BOpen2facebook/omniASR-LLM-300MOpen4facebook/omniASR-LLM-3BOpen3facebook/omniASR-LLM-7BOpen1dsfsi/anv-whisper-large-v3-turbo-anv-zulOpen5dsfsi/anv-whisper-small-anv-zulu-first-batchOpen6openai/whisper-large-v3Open19openai/whisper-smallOpen13sitwala/whisper-large-anv-sotOpen24sitwala/whisper-large-v3-anv-sotOpen26sitwala/whisper-large-v3-turbo-anv-zul-150hOpen5sitwala/whisper-large-v3-turbo-anv-zul-250hOpen4sitwala/whisper-large-v3-turbo-anv-zul-50hOpen7

What did the model get wrong?

facebook/omniASR-LLM-3BOpen   Example 49 of 100  ·  sample index 48

✅ What was actually said (isiZulu reference)
Ziningiizindabazezinkampaniezikwazileukuqhubekangempumelelonokusebenzaonyakeniowedlulengenxayokwesekelwaezikutholekwi-UIF.
🤖 What this model heard
ziningiizindabazezinkampaniezikwazileukuqhubekangempumelelonokusebenzaonyakeniowedlulengenxayokwesekelwaezitholekwiuif
Correct
Wrong (different word)
Missed (skipped)
Extra (added)
11
Correct
2
Wrong
0
Missed
1
Extra
85%
Words right
0.231
WER
0.030
CER
14.13s
Duration
1.5s
Latency