Dataset
Waxal
← All examples
Model summary →
Model
facebook/omniASR-CTC-1B
Open
17
facebook/omniASR-CTC-300M
Open
11
facebook/omniASR-CTC-3B
Open
17
facebook/omniASR-CTC-7B
Open
17
facebook/omniASR-LLM-1B
Open
16
facebook/omniASR-LLM-300M
Open
16
facebook/omniASR-LLM-3B
Open
17
facebook/omniASR-LLM-7B
Open
16
aadel4/omniASR-CTC-1B-v2
Open
15
aadel4/omniASR-CTC-300M-v2
Open
16
openai/whisper-large-v3
Open
25
openai/whisper-small
Open
27
What did the model get wrong?
aadel4/omniASR-CTC-300M-v2
Open
Example 28 of 100 · sample index 27
🎧 Listen — original audio
✅ What was actually said (Shona reference)
Muti
wemuwiro
unemaruva
matsvuku
,
mashizha
awo
akarembera
egirinhi
arimatete
marefu.
Mune
mhodzi
dze
bhurauni
dziripedyo
nemaruva.
Muzasi
mune
mariri
anemashizha
egirinhi
akawanda
uye
zvakaoma
zve
bhurauni.
🤖 What this model heard
muti
wemuwiro
une
maruva
matsvuku
mashizha
awo
akarembera
egreen
are
matete
marefu
nemhodzi
dzebrown
dziri
pedyo
nemaruva
muzasi
mune
mariri
ane
mashizha
egreen
akawanda
uye
zvakaoma
zvebrowne
Correct
Wrong (different word)
Missed (skipped)
Extra (added)
12
Correct
14
Wrong
1
Missed
1
Extra
44%
Words right
0.630
WER
0.169
CER
21.41s
Duration
0.0s
Latency