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?
sitwala/whisper-large-anv-sot
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
e
ngongla
e
boyon
nnoma
o
ho
paela
a
maso
a
manengi
o
golongdoloswa
a
seteng
zeswa
ema
sebuene
a
hlogene
a
soke
engateng
e
gile
kepha
a
seng
zelwa
o
gunang
be
tsheka
kwao
merothongwa
kwao
la
pohlewa
Correct
Wrong (different word)
Missed (skipped)
Extra (added)
1
Correct
19
Wrong
0
Missed
19
Extra
5%
Words right
1.900
WER
0.418
CER
21.52s
Duration
0.2s
Latency