Dataset
Lwazi
ANV
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Model summary →
Model
facebook/omniASR-CTC-1B
Open
2
facebook/omniASR-CTC-300M
Open
0
facebook/omniASR-CTC-3B
Open
3
facebook/omniASR-LLM-1B
Open
1
facebook/omniASR-LLM-300M
Open
1
facebook/omniASR-LLM-3B
Open
1
facebook/omniASR-LLM-7B
Open
2
dsfsi/anv-whisper-large-v3-turbo-anv-zul
Open
2
dsfsi/anv-whisper-small-anv-zulu-first-batch
Open
2
openai/whisper-large-v3
Open
16
openai/whisper-small
Open
12
sitwala/whisper-large-anv-sot
Open
25
sitwala/whisper-large-v3-anv-sot
Open
27
sitwala/whisper-large-v3-turbo-anv-zul-150h
Open
1
sitwala/whisper-large-v3-turbo-anv-zul-250h
Open
1
sitwala/whisper-large-v3-turbo-anv-zul-50h
Open
2
What did the model get wrong?
sitwala/whisper-large-anv-sot
Open
Example 13 of 100 · sample index 12
✅ What was actually said (isiZulu reference)
Uhlanga
lwa-Tawana
lwaqamba
indawo
ababehlala
kuyona
nge
"Mahikeng",
igama
lesiTswana
elisho
"Indawo
enamatshe".
🤖 What this model heard
o
hlangalwa
tawana
lo
a
kamba
e
ndaho
a
ba
behlala
ho
yona
nke
mahekeng
e
kama
le
setswana
e
lesho
e
ndaho
e
namatje
Correct
Wrong (different word)
Missed (skipped)
Extra (added)
0
Correct
13
Wrong
0
Missed
12
Extra
0%
Words right
1.923
WER
0.312
CER
13.65s
Duration
0.3s
Latency