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
2
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
4
aadel4/omniASR-CTC-300M-v2
Open
3
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
5
facebook/mms-1b-all
Open
3
openai/whisper-large-v3
Open
5
openai/whisper-small
Open
7
sitwala/whisper-large-anv-sot
Open
10
sitwala/whisper-large-v3-anv-sot
Open
8
sitwala/whisper-large-v3-turbo-anv-zul-150h
Open
4
sitwala/whisper-large-v3-turbo-anv-zul-250h
Open
2
sitwala/whisper-large-v3-turbo-anv-zul-50h
Open
4
What did the model get wrong?
facebook/mms-1b-all
Open
Example 81 of 100 · sample index 80
✅ What was actually said (isiZulu reference)
ah,
silima
ndini,
ucabanga
ukuthi
angazi
hhe?
🤖 What this model heard
a
silima
ndini
uqabanga
ukuthi
angazi
ye
Correct
Wrong (different word)
Missed (skipped)
Extra (added)
4
Correct
3
Wrong
0
Missed
0
Extra
57%
Words right
0.571
WER
0.156
CER
5.08s
Duration
0.0s
Latency