DatasetLwaziANV

← All examples Model summary →

Modelfacebook/omniASR-CTC-1BOpen7facebook/omniASR-CTC-300MOpen8facebook/omniASR-CTC-3BOpen5facebook/omniASR-LLM-1BOpen2facebook/omniASR-LLM-300MOpen2facebook/omniASR-LLM-3BOpen3facebook/omniASR-LLM-7BOpen3dsfsi/anv-whisper-large-v3-turbo-anv-zulOpen3dsfsi/anv-whisper-small-anv-zulu-first-batchOpen4openai/whisper-large-v3Open25openai/whisper-smallOpen23sitwala/whisper-large-anv-sotOpen54sitwala/whisper-large-v3-anv-sotOpen55sitwala/whisper-large-v3-turbo-anv-zul-150hOpen3sitwala/whisper-large-v3-turbo-anv-zul-250hOpen3sitwala/whisper-large-v3-turbo-anv-zul-50hOpen4

What did the model get wrong?

openai/whisper-smallOpen   Example 35 of 100  ·  sample index 34

✅ What was actually said (isiZulu reference)
Wayesolaukuthiihhovisilithakathiwengobangenkathiesekulesisikhundlawabandakanyekaezingoziniezimbilizemotokodwawanagalimalakakhulu,yikholokhuokwanyusaizinsolozokuthikukhonaisindlasemfene.
🤖 What this model heard
ḍḍḍḍḍḍḍḍḍḍḍḍḍḍḍḍḍḍḍḍḍḍḍḍḍḍḍḍḍḍḍḍḍḍḍḍḍḍḍḍḍḍḍḍḍḍḍḍḍḍḍḍḍḍḍḍḍḍḍḍḍḍḍḍḍḍḍḍḍḍḍḍḍḍḍḍḍḍḍḍḍḍḍḍḍḍḍḍḍḍḍḍḍḍḍḍḍḍḍḍḍḍḍḍḍḍḍḍḍḍḍḍḍḍḍḍḍḍḍḍḍḍḍḍḍḍḍḍḍḍḍḍḍḍḍḍḍḍḍḍḍḍḍḍḍḍḍḍ
Correct
Wrong (different word)
Missed (skipped)
Extra (added)
0
Correct
1
Wrong
22
Missed
0
Extra
0%
Words right
1.000
WER
1.000
CER
25.93s
Duration
0.3s
Latency