Dataset
Lwazi
ANV
← All examples
Model summary →
Model
facebook/omniASR-CTC-1B
Open
0
facebook/omniASR-CTC-300M
Open
3
facebook/omniASR-CTC-3B
Open
1
facebook/omniASR-CTC-7B
Open
0
facebook/omniASR-LLM-1B
Open
1
facebook/omniASR-LLM-300M
Open
0
facebook/omniASR-LLM-3B
Open
2
facebook/omniASR-LLM-7B
Open
0
aadel4/omniASR-CTC-1B-v2
Open
1
aadel4/omniASR-CTC-300M-v2
Open
2
badrex/w2v-bert-2.0-zulu-asr
Open
1
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
4
openai/whisper-large-v3
Open
9
openai/whisper-small
Open
9
sitwala/whisper-large-anv-sot
Open
14
sitwala/whisper-large-v3-anv-sot
Open
16
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
2
What did the model get wrong?
openai/whisper-small
Open
Example 47 of 100 · sample index 46
✅ What was actually said (isiZulu reference)
incwadi
ibhalwa
ngolimi
oluxoxekayo
okusho
ukuthi,
yindaba
exo-
exoxwayo.
🤖 What this model heard
ὀἀἀἀἀἀἀἀἀἀἀἀἀἀἀἀἀἀἀἀἀἀἀἀἀἀἀἀἀἀἀἀἀἀἀἀἀἀἀἀἀἀἀἀἀἀἀἀἀἀἀἀἀἀἀἀἀἀἀἀἀἀἀἀἀἀἀἀἀἀἀἀἀἀἀἀἀἀἀἀἀἀἀἀἀἀἀἀἀἀἀἀἀἀἀἀἀἀἀἀἀἀἀἀἀἀἀἀἀἀἀἀἀἀἀἀἀἀἀἀἀἀἀἀἀἀἀἀἀἀἀἀἀἀἀἀἀἀἀἀἀἀἀἀἀἀἀἀ
Correct
Wrong (different word)
Missed (skipped)
Extra (added)
0
Correct
1
Wrong
8
Missed
0
Extra
0%
Words right
1.000
WER
2.027
CER
7.80s
Duration
0.3s
Latency