Dataset
Lwazi
ANV
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Model summary →
Model
facebook/omniASR-CTC-1B
Open
11
facebook/omniASR-CTC-300M
Open
10
facebook/omniASR-CTC-3B
Open
11
facebook/omniASR-LLM-1B
Open
10
facebook/omniASR-LLM-300M
Open
11
facebook/omniASR-LLM-3B
Open
9
facebook/omniASR-LLM-7B
Open
8
dsfsi/anv-whisper-large-v3-turbo-anv-zul
Open
10
dsfsi/anv-whisper-small-anv-zulu-first-batch
Open
10
openai/whisper-large-v3
Open
23
openai/whisper-small
Open
24
sitwala/whisper-large-anv-sot
Open
38
sitwala/whisper-large-v3-anv-sot
Open
36
sitwala/whisper-large-v3-turbo-anv-zul-150h
Open
11
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?
openai/whisper-small
Open
Example 87 of 100 · sample index 86
✅ What was actually said (isiZulu reference)
[um]
Intsha
inemithwalo
yemfanelo
[um]
yokugcina
ulwazi
olunembile
[um]
nokufundisa
abanye
[um]
nokukhuthaza
[um]
ukuxhumana
okuhle
ekumele
[um]
baziqhenye
ngendlela
[um]
zokuhambisa
ulwazi
olufanele
🤖 What this model heard
ន្្្្្្្្្្្្្្្្្្្្្្្្្្្្្្្្្្្្្្្្្្្្្្្្្្្្្្្្្្្្្្្្្្្្្្្្្្្្្្្្្្្្្្្្្្្្្្្្្្្្្្្្្្្្្្្្្្្្្្្្្្្្្្្្្្្្្្្្្្្្្្្្្្្
Correct
Wrong (different word)
Missed (skipped)
Extra (added)
0
Correct
1
Wrong
23
Missed
0
Extra
0%
Words right
1.000
WER
1.000
CER
20.45s
Duration
0.3s
Latency