Dataset
Lwazi
ANV
← All examples
Model summary →
Model
facebook/omniASR-CTC-1B
Open
5
facebook/omniASR-CTC-300M
Open
5
facebook/omniASR-CTC-3B
Open
4
facebook/omniASR-LLM-1B
Open
3
facebook/omniASR-LLM-300M
Open
5
facebook/omniASR-LLM-3B
Open
4
facebook/omniASR-LLM-7B
Open
3
dsfsi/anv-whisper-large-v3-turbo-anv-zul
Open
3
dsfsi/anv-whisper-small-anv-zulu-first-batch
Open
3
openai/whisper-large-v3
Open
12
openai/whisper-small
Open
12
sitwala/whisper-large-anv-sot
Open
16
sitwala/whisper-large-v3-anv-sot
Open
21
sitwala/whisper-large-v3-turbo-anv-zul-150h
Open
3
sitwala/whisper-large-v3-turbo-anv-zul-250h
Open
3
sitwala/whisper-large-v3-turbo-anv-zul-50h
Open
3
What did the model get wrong?
facebook/omniASR-CTC-1B
Open
Example 2 of 100 · sample index 1
✅ What was actually said (isiZulu reference)
Iqhaza
le
sifundazwe
-
kuya
ngezilimo
ezikhethwa
abalimi
ezilungele
kakhulu
indawo
ethile.
🤖 What this model heard
iiqhaza
lesifundazo
kuya
ngezilimo
ezikhethwa
abalini
ezilungele
kakhulu
indawo
ethile
Correct
Wrong (different word)
Missed (skipped)
Extra (added)
7
Correct
3
Wrong
2
Missed
0
Extra
58%
Words right
0.500
WER
0.089
CER
8.99s
Duration
0.1s
Latency