Dataset
Lwazi
ANV
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Model summary →
Model
facebook/omniASR-CTC-1B
Open
3
facebook/omniASR-CTC-300M
Open
6
facebook/omniASR-CTC-3B
Open
2
facebook/omniASR-CTC-7B
Open
1
facebook/omniASR-LLM-1B
Open
1
facebook/omniASR-LLM-300M
Open
1
facebook/omniASR-LLM-3B
Open
2
facebook/omniASR-LLM-7B
Open
0
aadel4/omniASR-CTC-1B-v2
Open
3
aadel4/omniASR-CTC-300M-v2
Open
3
badrex/w2v-bert-2.0-zulu-asr
Open
0
dsfsi/anv-whisper-large-v3-turbo-anv-zul
Open
2
dsfsi/anv-whisper-small-anv-zulu-first-batch
Open
4
facebook/mms-1b-all
Open
1
openai/whisper-large-v3
Open
6
openai/whisper-small
Open
8
sitwala/whisper-large-anv-sot
Open
9
sitwala/whisper-large-v3-anv-sot
Open
13
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
3
What did the model get wrong?
openai/whisper-small
Open
Example 87 of 100 · sample index 86
✅ What was actually said (isiZulu reference)
likhona
nevolovolo,
leli
ahambe
nalo
umlungu.
🤖 What this model heard
L'khoran
e
volo
volo,
lili,
aha
minalo,
umlum.
Correct
Wrong (different word)
Missed (skipped)
Extra (added)
0
Correct
6
Wrong
0
Missed
2
Extra
0%
Words right
1.333
WER
0.356
CER
3.81s
Duration
0.3s
Latency