Dataset
Lwazi
ANV
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Model summary →
Model
facebook/omniASR-CTC-1B
Open
2
facebook/omniASR-CTC-300M
Open
2
facebook/omniASR-CTC-3B
Open
2
facebook/omniASR-CTC-7B
Open
2
facebook/omniASR-LLM-1B
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1
facebook/omniASR-LLM-300M
Open
1
facebook/omniASR-LLM-3B
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1
facebook/omniASR-LLM-7B
Open
1
aadel4/omniASR-CTC-1B-v2
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2
aadel4/omniASR-CTC-300M-v2
Open
2
badrex/w2v-bert-2.0-zulu-asr
Open
1
dsfsi/anv-whisper-large-v3-turbo-anv-zul
Open
1
dsfsi/anv-whisper-small-anv-zulu-first-batch
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2
facebook/mms-1b-all
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2
openai/whisper-large-v3
Open
2
openai/whisper-small
Open
2
sitwala/whisper-large-anv-sot
Open
2
sitwala/whisper-large-v3-anv-sot
Open
2
sitwala/whisper-large-v3-turbo-anv-zul-150h
Open
1
sitwala/whisper-large-v3-turbo-anv-zul-250h
Open
1
sitwala/whisper-large-v3-turbo-anv-zul-50h
Open
2
What did the model get wrong?
openai/whisper-large-v3
Open
Example 99 of 100 · sample index 98
✅ What was actually said (isiZulu reference)
[n]
yebo.
🤖 What this model heard
Yeah,
well...
Correct
Wrong (different word)
Missed (skipped)
Extra (added)
0
Correct
2
Wrong
0
Missed
0
Extra
0%
Words right
2.000
WER
2.000
CER
0.98s
Duration
0.7s
Latency