Dataset
Lwazi
ANV
← All examples
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
5
facebook/omniASR-LLM-300M
Open
3
facebook/omniASR-LLM-3B
Open
3
facebook/omniASR-LLM-7B
Open
3
aadel4/omniASR-CTC-1B-v2
Open
2
aadel4/omniASR-CTC-300M-v2
Open
2
badrex/w2v-bert-2.0-zulu-asr
Open
2
dsfsi/anv-whisper-large-v3-turbo-anv-zul
Open
1
dsfsi/anv-whisper-small-anv-zulu-first-batch
Open
3
facebook/mms-1b-all
Open
2
openai/whisper-large-v3
Open
5
openai/whisper-small
Open
10
sitwala/whisper-large-anv-sot
Open
11
sitwala/whisper-large-v3-anv-sot
Open
10
sitwala/whisper-large-v3-turbo-anv-zul-150h
Open
1
sitwala/whisper-large-v3-turbo-anv-zul-250h
Open
1
sitwala/whisper-large-v3-turbo-anv-zul-50h
Open
1
What did the model get wrong?
openai/whisper-large-v3
Open
Example 75 of 100 · sample index 74
✅ What was actually said (isiZulu reference)
iSevisi
yezoMshoshaphansi
yeNingizimu
Afrika.
🤖 What this model heard
Isevisi
yezo
mshosha
panti
ya
nyingizimu
Afrika.
Correct
Wrong (different word)
Missed (skipped)
Extra (added)
2
Correct
2
Wrong
0
Missed
3
Extra
50%
Words right
1.250
WER
0.156
CER
5.13s
Duration
0.7s
Latency