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
5
facebook/omniASR-LLM-1B
Open
4
facebook/omniASR-LLM-300M
Open
6
facebook/omniASR-LLM-3B
Open
9
facebook/omniASR-LLM-7B
Open
4
aadel4/omniASR-CTC-1B-v2
Open
5
aadel4/omniASR-CTC-300M-v2
Open
7
badrex/w2v-bert-2.0-zulu-asr
Open
5
dsfsi/anv-whisper-large-v3-turbo-anv-zul
Open
6
dsfsi/anv-whisper-small-anv-zulu-first-batch
Open
7
facebook/mms-1b-all
Open
6
openai/whisper-large-v3
Open
13
openai/whisper-small
Open
224
sitwala/whisper-large-anv-sot
Open
17
sitwala/whisper-large-v3-anv-sot
Open
17
sitwala/whisper-large-v3-turbo-anv-zul-150h
Open
6
sitwala/whisper-large-v3-turbo-anv-zul-250h
Open
6
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 79 of 100 · sample index 78
✅ What was actually said (isiZulu reference)
acingwe
acingwe
uChakijana,
lize
ligci-
gcine,
selimtholile
ibhubesi.
🤖 What this model heard
acine
acine
uqwakijana
lize
liigqine
selimtholile
ibhubesi
Correct
Wrong (different word)
Missed (skipped)
Extra (added)
3
Correct
4
Wrong
1
Missed
0
Extra
38%
Words right
0.750
WER
0.203
CER
6.96s
Duration
0.1s
Latency