DatasetLwaziANV

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Modelfacebook/omniASR-CTC-1BOpen2facebook/omniASR-CTC-300MOpen0facebook/omniASR-CTC-3BOpen3facebook/omniASR-LLM-1BOpen1facebook/omniASR-LLM-300MOpen1facebook/omniASR-LLM-3BOpen1facebook/omniASR-LLM-7BOpen2dsfsi/anv-whisper-large-v3-turbo-anv-zulOpen2dsfsi/anv-whisper-small-anv-zulu-first-batchOpen2openai/whisper-large-v3Open16openai/whisper-smallOpen12sitwala/whisper-large-anv-sotOpen25sitwala/whisper-large-v3-anv-sotOpen27sitwala/whisper-large-v3-turbo-anv-zul-150hOpen1sitwala/whisper-large-v3-turbo-anv-zul-250hOpen1sitwala/whisper-large-v3-turbo-anv-zul-50hOpen2

What did the model get wrong?

facebook/omniASR-LLM-7BOpen   Example 13 of 100  ·  sample index 12

✅ What was actually said (isiZulu reference)
Uhlangalwa-Tawanalwaqambaindawoababehlalakuyonange"Mahikeng",igamalesiTswanaelisho"Indawoenamatshe".
🤖 What this model heard
uhlangalwatawanalwaqambaindawoababehlalakuyonange-mahikenigamalesitswanaelishoindawoenamatshe
Correct
Wrong (different word)
Missed (skipped)
Extra (added)
11
Correct
1
Wrong
1
Missed
0
Extra
85%
Words right
0.385
WER
0.080
CER
13.65s
Duration
1.5s
Latency