Dataset
Lwazi
ANV
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Model summary →
Model
facebook/omniASR-CTC-1B
Open
3
facebook/omniASR-CTC-300M
Open
3
facebook/omniASR-CTC-3B
Open
3
facebook/omniASR-CTC-7B
Open
3
facebook/omniASR-LLM-1B
Open
3
facebook/omniASR-LLM-300M
Open
3
facebook/omniASR-LLM-3B
Open
3
facebook/omniASR-LLM-7B
Open
2
aadel4/omniASR-CTC-1B-v2
Open
3
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
2
facebook/mms-1b-all
Open
4
openai/whisper-large-v3
Open
3
openai/whisper-small
Open
5
sitwala/whisper-large-anv-sot
Open
3
sitwala/whisper-large-v3-anv-sot
Open
3
sitwala/whisper-large-v3-turbo-anv-zul-150h
Open
3
sitwala/whisper-large-v3-turbo-anv-zul-250h
Open
2
sitwala/whisper-large-v3-turbo-anv-zul-50h
Open
3
What did the model get wrong?
facebook/omniASR-LLM-7B
Open
Example 93 of 100 · sample index 92
✅ What was actually said (isiZulu reference)
-luma
[n]
isiZulu.
🤖 What this model heard
uma
ke
isizulu
Correct
Wrong (different word)
Missed (skipped)
Extra (added)
1
Correct
2
Wrong
0
Missed
0
Extra
33%
Words right
1.500
WER
0.429
CER
0.97s
Duration
0.3s
Latency