Dataset
Lwazi
ANV
← All examples
Model summary →
Model
facebook/omniASR-CTC-1B
Open
4
facebook/omniASR-CTC-300M
Open
9
facebook/omniASR-CTC-3B
Open
3
facebook/omniASR-LLM-1B
Open
2
facebook/omniASR-LLM-300M
Open
3
facebook/omniASR-LLM-3B
Open
2
facebook/omniASR-LLM-7B
Open
2
dsfsi/anv-whisper-large-v3-turbo-anv-zul
Open
1
dsfsi/anv-whisper-small-anv-zulu-first-batch
Open
2
openai/whisper-large-v3
Open
20
openai/whisper-small
Open
17
sitwala/whisper-large-anv-sot
Open
35
sitwala/whisper-large-v3-anv-sot
Open
32
sitwala/whisper-large-v3-turbo-anv-zul-150h
Open
1
sitwala/whisper-large-v3-turbo-anv-zul-250h
Open
2
sitwala/whisper-large-v3-turbo-anv-zul-50h
Open
4
What did the model get wrong?
sitwala/whisper-large-anv-sot
Open
Example 60 of 100 · sample index 59
✅ What was actually said (isiZulu reference)
Abalimi
kufanele
baqeqeshwe
ngezindlela
ezilandelayo,
[pause]
ukulima
okuphumelelayo,
ukuphathwa
kwezinsiza,
ukwamukela
ubuchwepheshe
kanye
nokwazi
izinguquko
zesimo
sezulu.
🤖 What this model heard
ka
ba
lehimi
ho
fanele
ba
qaqeshweng
ya
zentlele
zilangdelae
ho
glema
ho
phomelelaeo
ho
ho
phatswa
ho
e
zentsheza
ho
ba
mkela
ho
bo
tlwepeshe
ka
nyenoko
aze
e
zeng
ho
qogo
zesimo
se
zolo
Correct
Wrong (different word)
Missed (skipped)
Extra (added)
1
Correct
16
Wrong
0
Missed
19
Extra
6%
Words right
2.059
WER
0.503
CER
19.67s
Duration
0.3s
Latency