Dataset
Lwazi
ANV
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Model summary →
Model
facebook/omniASR-CTC-1B
Open
5
facebook/omniASR-CTC-300M
Open
5
facebook/omniASR-CTC-3B
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5
facebook/omniASR-CTC-7B
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5
facebook/omniASR-LLM-1B
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5
facebook/omniASR-LLM-300M
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5
facebook/omniASR-LLM-3B
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5
facebook/omniASR-LLM-7B
Open
5
aadel4/omniASR-CTC-1B-v2
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5
aadel4/omniASR-CTC-300M-v2
Open
6
badrex/w2v-bert-2.0-zulu-asr
Open
8
dsfsi/anv-whisper-large-v3-turbo-anv-zul
Open
5
dsfsi/anv-whisper-small-anv-zulu-first-batch
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5
facebook/mms-1b-all
Open
7
openai/whisper-large-v3
Open
12
openai/whisper-small
Open
12
sitwala/whisper-large-anv-sot
Open
18
sitwala/whisper-large-v3-anv-sot
Open
22
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
5
What did the model get wrong?
openai/whisper-large-v3
Open
Example 13 of 100 · sample index 12
✅ What was actually said (isiZulu reference)
yiqanda,
yisithupha,
kubili,
[n]
kuthathu,
kuthathu,
kune,
yiqanda,
[n]
kubili,
kune,
kunye.
🤖 What this model heard
Ikanda,
istupa,
gubili,
gutatu,
gutatu,
gune.
Ikanda,
gubili,
gune,
gune.
Correct
Wrong (different word)
Missed (skipped)
Extra (added)
0
Correct
10
Wrong
2
Missed
0
Extra
0%
Words right
1.000
WER
0.250
CER
12.38s
Duration
0.1s
Latency