DatasetLwaziANV

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Modelfacebook/omniASR-CTC-1BOpen3facebook/omniASR-CTC-300MOpen4facebook/omniASR-CTC-3BOpen3facebook/omniASR-CTC-7BOpen4facebook/omniASR-LLM-1BOpen3facebook/omniASR-LLM-300MOpen2facebook/omniASR-LLM-3BOpen3facebook/omniASR-LLM-7BOpen4aadel4/omniASR-CTC-1B-v2Open6aadel4/omniASR-CTC-300M-v2Open4badrex/w2v-bert-2.0-zulu-asrOpen4dsfsi/anv-whisper-large-v3-turbo-anv-zulOpen3dsfsi/anv-whisper-small-anv-zulu-first-batchOpen4facebook/mms-1b-allOpen4openai/whisper-large-v3Open5openai/whisper-smallOpen5sitwala/whisper-large-anv-sotOpen6sitwala/whisper-large-v3-anv-sotOpen7sitwala/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-300MOpen   Example 10 of 100  ·  sample index 9

✅ What was actually said (isiZulu reference)
seligamenxeele-[n]elomkhothi.
🤖 What this model heard
seligamengweele-elomkhothi
Correct
Wrong (different word)
Missed (skipped)
Extra (added)
2
Correct
1
Wrong
1
Missed
0
Extra
50%
Words right
0.667
WER
0.107
CER
3.19s
Duration
0.7s
Latency