DatasetLwaziANV

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Modelfacebook/omniASR-CTC-1BOpen2facebook/omniASR-CTC-300MOpen3facebook/omniASR-CTC-3BOpen2facebook/omniASR-CTC-7BOpen2facebook/omniASR-LLM-1BOpen2facebook/omniASR-LLM-300MOpen2facebook/omniASR-LLM-3BOpen2facebook/omniASR-LLM-7BOpen2aadel4/omniASR-CTC-1B-v2Open2aadel4/omniASR-CTC-300M-v2Open3badrex/w2v-bert-2.0-zulu-asrOpen5dsfsi/anv-whisper-large-v3-turbo-anv-zulOpen4dsfsi/anv-whisper-small-anv-zulu-first-batchOpen4facebook/mms-1b-allOpen3openai/whisper-large-v3Open6openai/whisper-smallOpen6sitwala/whisper-large-anv-sotOpen5sitwala/whisper-large-v3-anv-sotOpen5sitwala/whisper-large-v3-turbo-anv-zul-150hOpen4sitwala/whisper-large-v3-turbo-anv-zul-250hOpen4sitwala/whisper-large-v3-turbo-anv-zul-50hOpen4

What did the model get wrong?

facebook/omniASR-LLM-1BOpen   Example 12 of 100  ·  sample index 11

✅ What was actually said (isiZulu reference)
amashumiamabilinesithupha,uNtulikaz-[n].
🤖 What this model heard
amashumiamabilinesithuphautulikazi
Correct
Wrong (different word)
Missed (skipped)
Extra (added)
3
Correct
1
Wrong
1
Missed
0
Extra
60%
Words right
0.600
WER
0.122
CER
5.39s
Duration
0.5s
Latency