Dataset
Lwazi
ANV
← All examples
Model summary →
Model
facebook/omniASR-CTC-1B
Open
4
facebook/omniASR-CTC-300M
Open
5
facebook/omniASR-CTC-3B
Open
5
facebook/omniASR-LLM-1B
Open
4
facebook/omniASR-LLM-300M
Open
2
facebook/omniASR-LLM-3B
Open
5
facebook/omniASR-LLM-7B
Open
4
dsfsi/anv-whisper-large-v3-turbo-anv-zul
Open
2
dsfsi/anv-whisper-small-anv-zulu-first-batch
Open
2
openai/whisper-large-v3
Open
19
openai/whisper-small
Open
20
sitwala/whisper-large-anv-sot
Open
38
sitwala/whisper-large-v3-anv-sot
Open
48
sitwala/whisper-large-v3-turbo-anv-zul-150h
Open
2
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?
facebook/omniASR-LLM-3B
Open
Example 17 of 100 · sample index 16
✅ What was actually said (isiZulu reference)
Inkundla
i-bouillon,
noma
ukubhayela.
Amasu
amaningi
okulondolozwa
asetshenziswa
emasikweni
ehlukene
asuke
engadingekile
kepha
asenzelwa
ukunambitheka
kwawo
nokuthungwa
kwawo
lapho
kudliwa.
🤖 What this model heard
inkundla
i
bowyer
noma
ukubhayela
amasu
amaningi
okulondolozwa
asetshenziswa
emasikweni
ahlukene
asuke
engadingekile
ke
park
asenzelwa
ukunambitheka
kwawo
nokuthungwa
kwawo
lapho
kudliwa
Correct
Wrong (different word)
Missed (skipped)
Extra (added)
17
Correct
3
Wrong
0
Missed
2
Extra
85%
Words right
0.350
WER
0.079
CER
21.52s
Duration
1.5s
Latency