Dataset
Lwazi
ANV
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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?
sitwala/whisper-large-anv-sot
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
eng
fondho
e
zoko
tlokela
koolwa
ze
lwe
just
and
time
pheqeleze
nge
skatshe
e
sefanele
a
mathoba
a
zoko
ya
nka
mangla
ho
botgola
o
loa
zing
e
skatshe
e
sefanele
nge
ntlaoso
e
fanele
Correct
Wrong (different word)
Missed (skipped)
Extra (added)
0
Correct
16
Wrong
0
Missed
20
Extra
0%
Words right
2.250
WER
0.407
CER
16.97s
Duration
0.3s
Latency