DatasetLwaziANV

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Modelfacebook/omniASR-CTC-1BOpen7facebook/omniASR-CTC-300MOpen8facebook/omniASR-CTC-3BOpen5facebook/omniASR-LLM-1BOpen2facebook/omniASR-LLM-300MOpen2facebook/omniASR-LLM-3BOpen3facebook/omniASR-LLM-7BOpen3dsfsi/anv-whisper-large-v3-turbo-anv-zulOpen3dsfsi/anv-whisper-small-anv-zulu-first-batchOpen4openai/whisper-large-v3Open25openai/whisper-smallOpen23sitwala/whisper-large-anv-sotOpen54sitwala/whisper-large-v3-anv-sotOpen55sitwala/whisper-large-v3-turbo-anv-zul-150hOpen3sitwala/whisper-large-v3-turbo-anv-zul-250hOpen3sitwala/whisper-large-v3-turbo-anv-zul-50hOpen4

What did the model get wrong?

facebook/omniASR-CTC-1BOpen   Example 35 of 100  ·  sample index 34

✅ What was actually said (isiZulu reference)
Wayesolaukuthiihhovisilithakathiwengobangenkathiesekulesisikhundlawabandakanyekaezingoziniezimbilizemotokodwawanagalimalakakhulu,yikholokhuokwanyusaizinsolozokuthikukhonaisindlasemfene.
🤖 What this model heard
wayesolaukuthiihovisilithakathiwengobangenkathiesekulesisikhundlawabandakanyekaezingoziniezimbilizemotokodwawangalimalakakhuluyikholokhuokwanyusaizintsolozokuthikukhonaisandlasemfeni
Correct
Wrong (different word)
Missed (skipped)
Extra (added)
16
Correct
6
Wrong
1
Missed
0
Extra
70%
Words right
0.348
WER
0.039
CER
25.93s
Duration
0.1s
Latency