DatasetLwaziANV

← All examples Model summary →

Modelfacebook/omniASR-CTC-1BOpen15facebook/omniASR-CTC-300MOpen14facebook/omniASR-CTC-3BOpen13facebook/omniASR-LLM-1BOpen12facebook/omniASR-LLM-300MOpen11facebook/omniASR-LLM-3BOpen11facebook/omniASR-LLM-7BOpen9dsfsi/anv-whisper-large-v3-turbo-anv-zulOpen7dsfsi/anv-whisper-small-anv-zulu-first-batchOpen39openai/whisper-large-v3Open35openai/whisper-smallOpen43sitwala/whisper-large-anv-sotOpen41sitwala/whisper-large-v3-anv-sotOpen51sitwala/whisper-large-v3-turbo-anv-zul-150hOpen12sitwala/whisper-large-v3-turbo-anv-zul-250hOpen13sitwala/whisper-large-v3-turbo-anv-zul-50hOpen18

What did the model get wrong?

facebook/omniASR-LLM-3BOpen   Example 40 of 100  ·  sample index 39

✅ What was actually said (isiZulu reference)
Ngemuvakwalokho,ngo-2021uMessisignedne-ParisSt.-Germain,PSG,laphoajoyinakhonaojongeamathalenteamakhuluuKylianMbappénoNeymar,futhingalowonyakawatholaiBallond'Oryakheeyayilandelayo.
🤖 What this model heard
ngemuvakwalokhongoumerseysignedneparisstgermaniphglaphoajoyinakhonaojongeamathalenteamakhuluukalyenimbappenoneymarfuthingaloonyakawatholaipalandoyakheeyayilandelayo
Correct
Wrong (different word)
Missed (skipped)
Extra (added)
16
Correct
8
Wrong
1
Missed
2
Extra
64%
Words right
0.600
WER
0.158
CER
25.05s
Duration
1.5s
Latency