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-CTC-300M
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
ibouyon
noma
ukubhayela
amasu
amanengi
okulondolozwa
asetshenziswa
emasekweni
ahlukeni
asuke
engadingekile
kepha
asenzelwa
ukunambitheka
kwawo
nokuthungwa
kwawo
lapho
kudlewa
Correct
Wrong (different word)
Missed (skipped)
Extra (added)
15
Correct
5
Wrong
0
Missed
0
Extra
75%
Words right
0.300
WER
0.063
CER
21.52s
Duration
0.0s
Latency