DatasetLwaziANV

← All examples Model summary →

Modelfacebook/omniASR-CTC-1BOpen11facebook/omniASR-CTC-300MOpen10facebook/omniASR-CTC-3BOpen11facebook/omniASR-LLM-1BOpen10facebook/omniASR-LLM-300MOpen11facebook/omniASR-LLM-3BOpen9facebook/omniASR-LLM-7BOpen8dsfsi/anv-whisper-large-v3-turbo-anv-zulOpen10dsfsi/anv-whisper-small-anv-zulu-first-batchOpen10openai/whisper-large-v3Open23openai/whisper-smallOpen24sitwala/whisper-large-anv-sotOpen38sitwala/whisper-large-v3-anv-sotOpen36sitwala/whisper-large-v3-turbo-anv-zul-150hOpen11sitwala/whisper-large-v3-turbo-anv-zul-250hOpen10sitwala/whisper-large-v3-turbo-anv-zul-50hOpen12

What did the model get wrong?

facebook/omniASR-LLM-300MOpen   Example 87 of 100  ·  sample index 86

✅ What was actually said (isiZulu reference)
[um]Intshainemithwaloyemfanelo[um]yokugcinaulwaziolunembile[um]nokufundisaabanye[um]nokukhuthaza[um]ukuxhumanaokuhleekumele[um]baziqhenyengendlela[um]zokuhambisaulwaziolufanele
🤖 What this model heard
intshainemthwaloyemfaneloyokugcinaulwaziolunembilenokufundisaabanyenokukhuthazauqhumanokuhleekumelwebaziqhenyengendlelazokuhambisaulwaziolufanele
Correct
Wrong (different word)
Missed (skipped)
Extra (added)
13
Correct
4
Wrong
7
Missed
0
Extra
54%
Words right
0.458
WER
0.211
CER
20.45s
Duration
3.0s
Latency