Dataset
Lwazi
ANV
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Model summary →
Model
facebook/omniASR-CTC-1B
Open
4
facebook/omniASR-CTC-300M
Open
5
facebook/omniASR-CTC-3B
Open
5
facebook/omniASR-CTC-7B
Open
5
facebook/omniASR-LLM-1B
Open
4
facebook/omniASR-LLM-300M
Open
3
facebook/omniASR-LLM-3B
Open
5
facebook/omniASR-LLM-7B
Open
4
aadel4/omniASR-CTC-1B-v2
Open
6
aadel4/omniASR-CTC-300M-v2
Open
4
badrex/w2v-bert-2.0-zulu-asr
Open
3
dsfsi/anv-whisper-large-v3-turbo-anv-zul
Open
3
dsfsi/anv-whisper-small-anv-zulu-first-batch
Open
6
facebook/mms-1b-all
Open
5
openai/whisper-large-v3
Open
6
openai/whisper-small
Open
7
sitwala/whisper-large-anv-sot
Open
5
sitwala/whisper-large-v3-anv-sot
Open
8
sitwala/whisper-large-v3-turbo-anv-zul-150h
Open
2
sitwala/whisper-large-v3-turbo-anv-zul-250h
Open
3
sitwala/whisper-large-v3-turbo-anv-zul-50h
Open
5
What did the model get wrong?
facebook/omniASR-CTC-3B
Open
Example 82 of 100 · sample index 81
✅ What was actually said (isiZulu reference)
Mero-
Meromo,
mngane
wami,
asiziyeke
lezo.
🤖 What this model heard
mero
melo
mo
ngani
wami
asizie
ekelezo
Correct
Wrong (different word)
Missed (skipped)
Extra (added)
2
Correct
4
Wrong
0
Missed
1
Extra
33%
Words right
1.167
WER
0.262
CER
6.01s
Duration
0.0s
Latency