Dataset
Lwazi
ANV
← All examples
Model summary →
Model
facebook/omniASR-CTC-1B
Open
5
facebook/omniASR-CTC-300M
Open
3
facebook/omniASR-CTC-3B
Open
5
facebook/omniASR-LLM-1B
Open
5
facebook/omniASR-LLM-300M
Open
4
facebook/omniASR-LLM-3B
Open
4
facebook/omniASR-LLM-7B
Open
2
dsfsi/anv-whisper-large-v3-turbo-anv-zul
Open
4
dsfsi/anv-whisper-small-anv-zulu-first-batch
Open
6
openai/whisper-large-v3
Open
22
openai/whisper-small
Open
16
sitwala/whisper-large-anv-sot
Open
36
sitwala/whisper-large-v3-anv-sot
Open
40
sitwala/whisper-large-v3-turbo-anv-zul-150h
Open
4
sitwala/whisper-large-v3-turbo-anv-zul-250h
Open
4
sitwala/whisper-large-v3-turbo-anv-zul-50h
Open
4
What did the model get wrong?
facebook/omniASR-LLM-7B
Open
Example 5 of 100 · sample index 4
✅ What was actually said (isiZulu reference)
Ifundo
izoguqukela
kulwazi
lwe-'just-in-time'
phecelezi
ngesikhathi
esifanele.
Amathuba
azokuya
ngamandla
okuthola
ulwazi
ngesikhathi
esifanele
ngenhloso
efanele.
🤖 What this model heard
imfundo
izoguqukela
kulwazi
lwe-justintle
phecelezi
ngesikhathi
esifanele
amathuba
azokuya
ngamandla
okuthola
ulwazi
ngesikhathi
esifanele
ngenhloso
efanele
Correct
Wrong (different word)
Missed (skipped)
Extra (added)
14
Correct
2
Wrong
0
Missed
0
Extra
88%
Words right
0.250
WER
0.056
CER
16.97s
Duration
1.5s
Latency