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
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6
facebook/omniASR-CTC-7B
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6
facebook/omniASR-LLM-1B
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6
facebook/omniASR-LLM-300M
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6
facebook/omniASR-LLM-3B
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6
facebook/omniASR-LLM-7B
Open
6
aadel4/omniASR-CTC-1B-v2
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6
aadel4/omniASR-CTC-300M-v2
Open
8
badrex/w2v-bert-2.0-zulu-asr
Open
5
dsfsi/anv-whisper-large-v3-turbo-anv-zul
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3
dsfsi/anv-whisper-small-anv-zulu-first-batch
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7
facebook/mms-1b-all
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5
openai/whisper-large-v3
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12
openai/whisper-small
Open
10
sitwala/whisper-large-anv-sot
Open
11
sitwala/whisper-large-v3-anv-sot
Open
13
sitwala/whisper-large-v3-turbo-anv-zul-150h
Open
4
sitwala/whisper-large-v3-turbo-anv-zul-250h
Open
5
sitwala/whisper-large-v3-turbo-anv-zul-50h
Open
4
What did the model get wrong?
openai/whisper-large-v3
Open
Example 77 of 100 · sample index 76
✅ What was actually said (isiZulu reference)
lokho
kwakungukwahlukaniselwa
kwe
altare
lapho,
lase
ligcotshiwe
[n].
🤖 What this model heard
Loko
kwa
kumu
kwa
shuga
ni
selo
kwe
atare
lapo
la
seliko
chiwe.
Correct
Wrong (different word)
Missed (skipped)
Extra (added)
1
Correct
7
Wrong
0
Missed
5
Extra
12%
Words right
1.500
WER
0.348
CER
10.90s
Duration
0.7s
Latency