Dataset
Lwazi
ANV
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Model summary →
Model
facebook/omniASR-CTC-1B
Open
1
facebook/omniASR-CTC-300M
Open
1
facebook/omniASR-CTC-3B
Open
1
facebook/omniASR-CTC-7B
Open
2
facebook/omniASR-LLM-1B
Open
2
facebook/omniASR-LLM-300M
Open
2
facebook/omniASR-LLM-3B
Open
2
facebook/omniASR-LLM-7B
Open
2
aadel4/omniASR-CTC-1B-v2
Open
2
aadel4/omniASR-CTC-300M-v2
Open
3
badrex/w2v-bert-2.0-zulu-asr
Open
2
dsfsi/anv-whisper-large-v3-turbo-anv-zul
Open
2
dsfsi/anv-whisper-small-anv-zulu-first-batch
Open
5
facebook/mms-1b-all
Open
2
openai/whisper-large-v3
Open
8
openai/whisper-small
Open
9
sitwala/whisper-large-anv-sot
Open
12
sitwala/whisper-large-v3-anv-sot
Open
10
sitwala/whisper-large-v3-turbo-anv-zul-150h
Open
3
sitwala/whisper-large-v3-turbo-anv-zul-250h
Open
4
sitwala/whisper-large-v3-turbo-anv-zul-50h
Open
5
What did the model get wrong?
sitwala/whisper-large-anv-sot
Open
Example 23 of 100 · sample index 22
✅ What was actually said (isiZulu reference)
wasala
yedwa
uJakobe
wabam-
kwabambana
naye
umuntu,
kwaze
kwasa.
🤖 What this model heard
wa
sa
laeta
o
tjakobe
wa
bamba
nae
o
monto
wa
zekwasa
Correct
Wrong (different word)
Missed (skipped)
Extra (added)
0
Correct
9
Wrong
0
Missed
3
Extra
0%
Words right
1.333
WER
0.438
CER
6.71s
Duration
0.1s
Latency