Dataset
Lwazi
ANV
← All examples
Model summary →
Model
facebook/omniASR-CTC-1B
Open
11
facebook/omniASR-CTC-300M
Open
11
facebook/omniASR-CTC-3B
Open
11
facebook/omniASR-LLM-1B
Open
9
facebook/omniASR-LLM-300M
Open
10
facebook/omniASR-LLM-3B
Open
9
facebook/omniASR-LLM-7B
Open
5
dsfsi/anv-whisper-large-v3-turbo-anv-zul
Open
10
dsfsi/anv-whisper-small-anv-zulu-first-batch
Open
11
openai/whisper-large-v3
Open
26
openai/whisper-small
Open
27
sitwala/whisper-large-anv-sot
Open
39
sitwala/whisper-large-v3-anv-sot
Open
43
sitwala/whisper-large-v3-turbo-anv-zul-150h
Open
12
sitwala/whisper-large-v3-turbo-anv-zul-250h
Open
10
sitwala/whisper-large-v3-turbo-anv-zul-50h
Open
12
What did the model get wrong?
sitwala/whisper-large-anv-sot
Open
Example 28 of 100 · sample index 27
✅ What was actually said (isiZulu reference)
I-Ohlone
inikeza
ama-associate
degrees
angu-61
aholela
ekudluliseleni
enyuvesi
noma
emisebenzini
kanye
nezinhlelo
zezitifiketi
zomsebenzi
ezingaphezu
kwe-100
ezinikeza
ukuqeqeshwa
kwamakhono
emisebenzi.
🤖 What this model heard
e
alaone
e
nnegeza
ama
associated
degrees
ang
ho
61
a
ho
lela
e
guhlwiselene
e
nyofese
noma
e
msebenzene
ka
nyenye
zeng
tleelo
ze
zetifigete
zo
msebenze
e
zingaphezo
hoa
100
e
zennyeza
o
ka
qeshwa
wa
makholo
e
msebenzene
Correct
Wrong (different word)
Missed (skipped)
Extra (added)
2
Correct
18
Wrong
0
Missed
21
Extra
10%
Words right
1.950
WER
0.347
CER
23.52s
Duration
0.2s
Latency