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-1B
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
zenziwa
ngocwaningo
olunembili
ukubandakanywa
kwabaphulaphuli
nezithulo
ezahlukahlukene
kubalulekile
ukufundisa
ngempilo
nokuxhumana
kahle
Correct
Wrong (different word)
Missed (skipped)
Extra (added)
13
Correct
2
Wrong
7
Missed
0
Extra
59%
Words right
0.545
WER
0.187
CER
18.35s
Duration
1.5s
Latency