Dataset
Lwazi
ANV
← All examples
Model summary →
Model
facebook/omniASR-CTC-1B
Open
4
facebook/omniASR-CTC-300M
Open
4
facebook/omniASR-CTC-3B
Open
2
facebook/omniASR-LLM-1B
Open
4
facebook/omniASR-LLM-300M
Open
4
facebook/omniASR-LLM-3B
Open
3
facebook/omniASR-LLM-7B
Open
3
dsfsi/anv-whisper-large-v3-turbo-anv-zul
Open
5
dsfsi/anv-whisper-small-anv-zulu-first-batch
Open
6
openai/whisper-large-v3
Open
30
openai/whisper-small
Open
148
sitwala/whisper-large-anv-sot
Open
45
sitwala/whisper-large-v3-anv-sot
Open
45
sitwala/whisper-large-v3-turbo-anv-zul-150h
Open
5
sitwala/whisper-large-v3-turbo-anv-zul-250h
Open
3
sitwala/whisper-large-v3-turbo-anv-zul-50h
Open
5
What did the model get wrong?
facebook/omniASR-LLM-1B
Open
Example 34 of 100 · sample index 33
✅ What was actually said (isiZulu reference)
Ngaphezu
kwalokho,
izinyoni
nezinye
izilwane
zizalela
amaqanda,
okuvame
ukudliwa,
futhi
izinyosi
zikhiqiza
uju,
umpe
olincishisiwe
oluqhamuka
ezimbalini,
okuyi-sweetener
ethandwayo
emasikweni
amaningi.
🤖 What this model heard
ngaphezu
kwaloko
izinyoni
nezinye
izilwane
zizalela
amagqanda
okuvame
ukudliwa
futhi
izinyosi
zikhiqiza
uju
umpe
oluncishisiwe
oluqhamuka
ezimbalini
okuyisweedna
ethandwayo
emasikweni
amaningi
Correct
Wrong (different word)
Missed (skipped)
Extra (added)
17
Correct
4
Wrong
0
Missed
0
Extra
81%
Words right
0.381
WER
0.070
CER
25.38s
Duration
1.4s
Latency