Dataset
Lwazi
ANV
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Model summary →
Model
facebook/omniASR-CTC-1B
Open
8
facebook/omniASR-CTC-300M
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6
facebook/omniASR-CTC-3B
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8
facebook/omniASR-CTC-7B
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7
facebook/omniASR-LLM-1B
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7
facebook/omniASR-LLM-300M
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6
facebook/omniASR-LLM-3B
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7
facebook/omniASR-LLM-7B
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6
aadel4/omniASR-CTC-1B-v2
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6
aadel4/omniASR-CTC-300M-v2
Open
5
badrex/w2v-bert-2.0-zulu-asr
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5
dsfsi/anv-whisper-large-v3-turbo-anv-zul
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6
dsfsi/anv-whisper-small-anv-zulu-first-batch
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6
facebook/mms-1b-all
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5
openai/whisper-large-v3
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6
openai/whisper-small
Open
7
sitwala/whisper-large-anv-sot
Open
9
sitwala/whisper-large-v3-anv-sot
Open
16
sitwala/whisper-large-v3-turbo-anv-zul-150h
Open
7
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?
openai/whisper-large-v3
Open
Example 76 of 100 · sample index 75
✅ What was actually said (isiZulu reference)
wamzonda
n-,
wamzonda
njalo-ke,
uNatana
u-Onyesha.
🤖 What this model heard
Kwa
mzoto
njaloke
una
dana
uonjenja.
Correct
Wrong (different word)
Missed (skipped)
Extra (added)
0
Correct
6
Wrong
0
Missed
0
Extra
0%
Words right
1.000
WER
0.480
CER
6.52s
Duration
0.7s
Latency