Dataset
Lwazi
ANV
← All examples
Model summary →
Model
facebook/omniASR-CTC-1B
Open
7
facebook/omniASR-CTC-300M
Open
10
facebook/omniASR-CTC-3B
Open
8
facebook/omniASR-LLM-1B
Open
8
facebook/omniASR-LLM-300M
Open
8
facebook/omniASR-LLM-3B
Open
10
facebook/omniASR-LLM-7B
Open
9
dsfsi/anv-whisper-large-v3-turbo-anv-zul
Open
4
dsfsi/anv-whisper-small-anv-zulu-first-batch
Open
6
openai/whisper-large-v3
Open
20
openai/whisper-small
Open
13
sitwala/whisper-large-anv-sot
Open
28
sitwala/whisper-large-v3-anv-sot
Open
26
sitwala/whisper-large-v3-turbo-anv-zul-150h
Open
6
sitwala/whisper-large-v3-turbo-anv-zul-250h
Open
5
sitwala/whisper-large-v3-turbo-anv-zul-50h
Open
5
What did the model get wrong?
facebook/omniASR-LLM-3B
Open
Example 4 of 100 · sample index 3
✅ What was actually said (isiZulu reference)
Imikhwazana
yezimbali
zikajikanelanga
zihhohlokile,
kodwa
ingemuva
le
diski,
ikhanda
likajikanelanga,
liseluhlaza,
Isithombe
4a.
🤖 What this model heard
imikhwazana
yezimbali
zikajika
neelanga
zihohlokile
kodwa
ingemuva
lediski
ikhanda
likajika
neelanga
lisaluhlaza
isithombe
four
a
Correct
Wrong (different word)
Missed (skipped)
Extra (added)
5
Correct
8
Wrong
0
Missed
2
Extra
38%
Words right
0.769
WER
0.133
CER
14.64s
Duration
1.5s
Latency