DatasetLwaziANV

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Modelfacebook/omniASR-CTC-1BOpen3facebook/omniASR-CTC-300MOpen3facebook/omniASR-CTC-3BOpen2facebook/omniASR-CTC-7BOpen2facebook/omniASR-LLM-1BOpen4facebook/omniASR-LLM-300MOpen2facebook/omniASR-LLM-3BOpen2facebook/omniASR-LLM-7BOpen2aadel4/omniASR-CTC-1B-v2Open4aadel4/omniASR-CTC-300M-v2Open6badrex/w2v-bert-2.0-zulu-asrOpen6dsfsi/anv-whisper-large-v3-turbo-anv-zulOpen4dsfsi/anv-whisper-small-anv-zulu-first-batchOpen5facebook/mms-1b-allOpen6openai/whisper-large-v3Open7openai/whisper-smallOpen10sitwala/whisper-large-anv-sotOpen10sitwala/whisper-large-v3-anv-sotOpen17sitwala/whisper-large-v3-turbo-anv-zul-150hOpen4sitwala/whisper-large-v3-turbo-anv-zul-250hOpen5sitwala/whisper-large-v3-turbo-anv-zul-50hOpen7

What did the model get wrong?

facebook/omniASR-CTC-300MOpen   Example 27 of 100  ·  sample index 26

✅ What was actually said (isiZulu reference)
dabulauThembi,ubemnco-u-ubencomaokuncanenjephela.
🤖 What this model heard
yabulauthembiubemncoubemncomaokuncanenjephela
Correct
Wrong (different word)
Missed (skipped)
Extra (added)
5
Correct
2
Wrong
1
Missed
0
Extra
62%
Words right
0.750
WER
0.143
CER
6.42s
Duration
0.2s
Latency