DatasetLwaziANV

← All examples Model summary →

Modelfacebook/omniASR-CTC-1BOpen16facebook/omniASR-CTC-300MOpen17facebook/omniASR-CTC-3BOpen14facebook/omniASR-LLM-1BOpen13facebook/omniASR-LLM-300MOpen14facebook/omniASR-LLM-3BOpen12facebook/omniASR-LLM-7BOpen13dsfsi/anv-whisper-large-v3-turbo-anv-zulOpen11dsfsi/anv-whisper-small-anv-zulu-first-batchOpen16openai/whisper-large-v3Open32openai/whisper-smallOpen32sitwala/whisper-large-anv-sotOpen49sitwala/whisper-large-v3-anv-sotOpen58sitwala/whisper-large-v3-turbo-anv-zul-150hOpen14sitwala/whisper-large-v3-turbo-anv-zul-250hOpen12sitwala/whisper-large-v3-turbo-anv-zul-50hOpen14

What did the model get wrong?

sitwala/whisper-large-anv-sotOpen   Example 91 of 100  ·  sample index 90

✅ What was actually said (isiZulu reference)
Abafundi[um]bangathathaizifundoezibalulekile[um]zokubambisana.Qonda[um]ukuhloniphaabantuabaveleezindeni[?]ezahlukene[um]futhibangafundisaimiphakathiyaboukubalulekakokuxhumana[um]ukwamukelaumehluko[um]ukwaka[um]ubudlelwanoobuhlephakathikwabantu
🤖 What this model heard
habafondieebaratsatsaesefondesbalegeleeesoqobangbesangkaondahoqlonephabantohabavelezindeneezahlogenaeefotshebarafondesaemparatsheaboobalelelahokemanaeeogwamogellaomehlogoeooakaeobohlelwanobohleparatswabanto
Correct
Wrong (different word)
Missed (skipped)
Extra (added)
0
Correct
32
Wrong
0
Missed
17
Extra
0%
Words right
1.531
WER
0.504
CER
25.09s
Duration
0.4s
Latency