Dataset
Lwazi
ANV
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Model summary →
Model
facebook/omniASR-CTC-1B
Open
14
facebook/omniASR-CTC-300M
Open
14
facebook/omniASR-CTC-3B
Open
13
facebook/omniASR-LLM-1B
Open
9
facebook/omniASR-LLM-300M
Open
10
facebook/omniASR-LLM-3B
Open
11
facebook/omniASR-LLM-7B
Open
9
dsfsi/anv-whisper-large-v3-turbo-anv-zul
Open
8
dsfsi/anv-whisper-small-anv-zulu-first-batch
Open
13
openai/whisper-large-v3
Open
24
openai/whisper-small
Open
23
sitwala/whisper-large-anv-sot
Open
38
sitwala/whisper-large-v3-anv-sot
Open
39
sitwala/whisper-large-v3-turbo-anv-zul-150h
Open
10
sitwala/whisper-large-v3-turbo-anv-zul-250h
Open
10
sitwala/whisper-large-v3-turbo-anv-zul-50h
Open
12
What did the model get wrong?
facebook/omniASR-LLM-3B
Open
Example 96 of 100 · sample index 95
✅ What was actually said (isiZulu reference)
[um]
Izinhlelo
zesimo
sezulu
[um]
zenziwa
ngocwaningo
olunembile.
[um]
Ukubandakanywa
[um]
kwabaphulaphuli,
[um]
nezithulo
ezahluka
hlukene.
[um]
Kubalulekile
ukufundisa
ngempilo,
nokuxhumana
kahle.
🤖 What this model heard
izinhlelo
zesimo
sezulu
ezenziwa
ngocwaningo
olunembele
ehhe
ngokubandakanywa
ehhe
kwabaphulaphuli
ehhe
nezithulo
ezahlukahlukene
ehhe
kubalulekile
ukufundisa
ngempilo
nokuxhumana
kahle
Correct
Wrong (different word)
Missed (skipped)
Extra (added)
11
Correct
8
Wrong
3
Missed
0
Extra
50%
Words right
0.636
WER
0.182
CER
18.35s
Duration
1.5s
Latency