Dataset
Lwazi
ANV
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Model summary →
Model
facebook/omniASR-CTC-1B
Open
8
facebook/omniASR-CTC-300M
Open
5
facebook/omniASR-CTC-3B
Open
6
facebook/omniASR-CTC-7B
Open
6
facebook/omniASR-LLM-1B
Open
3
facebook/omniASR-LLM-300M
Open
4
facebook/omniASR-LLM-3B
Open
2
facebook/omniASR-LLM-7B
Open
3
aadel4/omniASR-CTC-1B-v2
Open
5
aadel4/omniASR-CTC-300M-v2
Open
5
badrex/w2v-bert-2.0-zulu-asr
Open
3
dsfsi/anv-whisper-large-v3-turbo-anv-zul
Open
5
dsfsi/anv-whisper-small-anv-zulu-first-batch
Open
6
facebook/mms-1b-all
Open
3
openai/whisper-large-v3
Open
6
openai/whisper-small
Open
5
sitwala/whisper-large-anv-sot
Open
8
sitwala/whisper-large-v3-anv-sot
Open
9
sitwala/whisper-large-v3-turbo-anv-zul-150h
Open
4
sitwala/whisper-large-v3-turbo-anv-zul-250h
Open
4
sitwala/whisper-large-v3-turbo-anv-zul-50h
Open
3
What did the model get wrong?
facebook/omniASR-CTC-300M
Open
Example 90 of 100 · sample index 89
✅ What was actually said (isiZulu reference)
wo,
phela
lowo,
mntanami,
usaba
ukuganga.
🤖 What this model heard
woh
phela
lo
mta
nami
usaba
ukugapo
Correct
Wrong (different word)
Missed (skipped)
Extra (added)
2
Correct
4
Wrong
0
Missed
1
Extra
33%
Words right
0.833
WER
0.268
CER
4.31s
Duration
0.1s
Latency