DatasetLwaziANV

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Modelfacebook/omniASR-CTC-1BOpen9facebook/omniASR-CTC-300MOpen7facebook/omniASR-CTC-3BOpen9facebook/omniASR-LLM-1BOpen9facebook/omniASR-LLM-300MOpen9facebook/omniASR-LLM-3BOpen8facebook/omniASR-LLM-7BOpen3dsfsi/anv-whisper-large-v3-turbo-anv-zulOpen8dsfsi/anv-whisper-small-anv-zulu-first-batchOpen11openai/whisper-large-v3Open34openai/whisper-smallOpen48sitwala/whisper-large-anv-sotOpen53sitwala/whisper-large-v3-anv-sotOpen51sitwala/whisper-large-v3-turbo-anv-zul-150hOpen9sitwala/whisper-large-v3-turbo-anv-zul-250hOpen10sitwala/whisper-large-v3-turbo-anv-zul-50hOpen12

What did the model get wrong?

facebook/omniASR-LLM-1BOpen   Example 29 of 100  ·  sample index 28

✅ What was actually said (isiZulu reference)
Njengobai-cannabisiyi-scheduleIelawulaintoe-UnitedStates,ezinyeizindlelazokwenziwakwe-CBDzihlalazingekhoemthethweniukunqumaukusetshenziswakwezokwelaphanomaukusebenzisanjengesithakoekudleninomakwezithasiselozokudla.
🤖 What this model heard
njengobaicanabisischeduleelawulaintoeunitedstatesezinyeizindlelazokwenziwakwecbdzihlalazingekhoemthethweniukunqumaukusetshenziswakwezokulaphanomaukusebenzisanjengesithaboekudleninomakwezithasiselozokudla
Correct
Wrong (different word)
Missed (skipped)
Extra (added)
19
Correct
6
Wrong
0
Missed
3
Extra
76%
Words right
0.440
WER
0.059
CER
26.14s
Duration
1.4s
Latency