Dataset
Lwazi
ANV
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Model summary →
Model
facebook/omniASR-CTC-1B
Open
6
facebook/omniASR-CTC-300M
Open
6
facebook/omniASR-CTC-3B
Open
6
facebook/omniASR-CTC-7B
Open
6
facebook/omniASR-LLM-1B
Open
6
facebook/omniASR-LLM-300M
Open
4
facebook/omniASR-LLM-3B
Open
6
facebook/omniASR-LLM-7B
Open
6
aadel4/omniASR-CTC-1B-v2
Open
6
aadel4/omniASR-CTC-300M-v2
Open
6
badrex/w2v-bert-2.0-zulu-asr
Open
6
dsfsi/anv-whisper-large-v3-turbo-anv-zul
Open
5
dsfsi/anv-whisper-small-anv-zulu-first-batch
Open
6
facebook/mms-1b-all
Open
6
openai/whisper-large-v3
Open
6
openai/whisper-small
Open
6
sitwala/whisper-large-anv-sot
Open
6
sitwala/whisper-large-v3-anv-sot
Open
6
sitwala/whisper-large-v3-turbo-anv-zul-150h
Open
5
sitwala/whisper-large-v3-turbo-anv-zul-250h
Open
5
sitwala/whisper-large-v3-turbo-anv-zul-50h
Open
6
What did the model get wrong?
badrex/w2v-bert-2.0-zulu-asr
Open
Example 69 of 100 · sample index 68
✅ What was actually said (isiZulu reference)
[n]
ngo-
nineteen
[n]
seventy
nine.
🤖 What this model heard
o
ni1t
7nn
Correct
Wrong (different word)
Missed (skipped)
Extra (added)
0
Correct
3
Wrong
3
Missed
0
Extra
0%
Words right
1.000
WER
0.704
CER
1.63s
Duration
0.1s
Latency