Dataset
Lwazi
ANV
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Model summary →
Model
facebook/omniASR-CTC-1B
Open
3
facebook/omniASR-CTC-300M
Open
6
facebook/omniASR-CTC-3B
Open
3
facebook/omniASR-CTC-7B
Open
3
facebook/omniASR-LLM-1B
Open
5
facebook/omniASR-LLM-300M
Open
5
facebook/omniASR-LLM-3B
Open
3
facebook/omniASR-LLM-7B
Open
3
aadel4/omniASR-CTC-1B-v2
Open
4
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
3
dsfsi/anv-whisper-small-anv-zulu-first-batch
Open
3
facebook/mms-1b-all
Open
4
openai/whisper-large-v3
Open
18
openai/whisper-small
Open
13
sitwala/whisper-large-anv-sot
Open
16
sitwala/whisper-large-v3-anv-sot
Open
15
sitwala/whisper-large-v3-turbo-anv-zul-150h
Open
3
sitwala/whisper-large-v3-turbo-anv-zul-250h
Open
3
sitwala/whisper-large-v3-turbo-anv-zul-50h
Open
3
What did the model get wrong?
aadel4/omniASR-CTC-300M-v2
Open
Example 86 of 100 · sample index 85
✅ What was actually said (isiZulu reference)
emva
kokuthola
lezi
zinto,
was-
waseyocaba-
cambalala
phansi
kwemithi.
🤖 What this model heard
emva
kokuthola
lezi
zinto
waseyo
qabalulala
phantsi
kwemithie
Correct
Wrong (different word)
Missed (skipped)
Extra (added)
4
Correct
4
Wrong
1
Missed
0
Extra
44%
Words right
0.667
WER
0.243
CER
7.13s
Duration
0.0s
Latency