Dataset
Lwazi
ANV
← All examples
Model summary →
Model
facebook/omniASR-CTC-1B
Open
2
facebook/omniASR-CTC-300M
Open
5
facebook/omniASR-CTC-3B
Open
1
facebook/omniASR-LLM-1B
Open
2
facebook/omniASR-LLM-300M
Open
1
facebook/omniASR-LLM-3B
Open
2
facebook/omniASR-LLM-7B
Open
1
dsfsi/anv-whisper-large-v3-turbo-anv-zul
Open
1
dsfsi/anv-whisper-small-anv-zulu-first-batch
Open
5
openai/whisper-large-v3
Open
29
openai/whisper-small
Open
29
sitwala/whisper-large-anv-sot
Open
41
sitwala/whisper-large-v3-anv-sot
Open
41
sitwala/whisper-large-v3-turbo-anv-zul-150h
Open
0
sitwala/whisper-large-v3-turbo-anv-zul-250h
Open
1
sitwala/whisper-large-v3-turbo-anv-zul-50h
Open
1
What did the model get wrong?
sitwala/whisper-large-anv-sot
Open
Example 45 of 100 · sample index 44
✅ What was actually said (isiZulu reference)
"Kukhona
ingcosana
yalabo
abaphila
nokukhubazeka
ekwaziyo
ukwenza
kahle
kulezo
zikole
ezijwayelekile.
Ngokuqhubeka
nokufunda,
ukwesekelwa
kanye
nesineke,
abafundi
bengaqhakaza."
🤖 What this model heard
ko
kona
e
ntlo
sa
na
ya
labo
ha
baphelela
nnoro
kuba
zeka
e
kwazio
o
kwentza
gahle
ke
o
le
zo
zikole
e
zetwai
legele
nngwe
ho
klobera
nnoro
fonda
ho
boe
segelwa
kaanye
nesenneke
ha
ba
fonde
beng
a
kgakatsa
Correct
Wrong (different word)
Missed (skipped)
Extra (added)
1
Correct
17
Wrong
0
Missed
24
Extra
6%
Words right
2.278
WER
0.463
CER
22.05s
Duration
0.3s
Latency