Dataset
Lwazi
ANV
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Model summary →
Model
facebook/omniASR-CTC-1B
Open
2
facebook/omniASR-CTC-300M
Open
2
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
1
facebook/omniASR-LLM-7B
Open
0
aadel4/omniASR-CTC-1B-v2
Open
2
aadel4/omniASR-CTC-300M-v2
Open
2
badrex/w2v-bert-2.0-zulu-asr
Open
0
dsfsi/anv-whisper-large-v3-turbo-anv-zul
Open
1
dsfsi/anv-whisper-small-anv-zulu-first-batch
Open
1
facebook/mms-1b-all
Open
7
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
9
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
0
What did the model get wrong?
openai/whisper-large-v3
Open
Example 40 of 100 · sample index 39
✅ What was actually said (isiZulu reference)
yikwata
yehora
ngaphambi
kwehora
lesishiyagalombili.
🤖 What this model heard
Ikwata
yehora,
napambi
wehora,
lesia
kalumbili.
Correct
Wrong (different word)
Missed (skipped)
Extra (added)
1
Correct
4
Wrong
0
Missed
1
Extra
20%
Words right
1.200
WER
0.250
CER
4.97s
Duration
0.1s
Latency