DatasetLwaziANV

← All examples Model summary →

Modelfacebook/omniASR-CTC-1BOpen4facebook/omniASR-CTC-300MOpen9facebook/omniASR-CTC-3BOpen3facebook/omniASR-LLM-1BOpen2facebook/omniASR-LLM-300MOpen3facebook/omniASR-LLM-3BOpen2facebook/omniASR-LLM-7BOpen2dsfsi/anv-whisper-large-v3-turbo-anv-zulOpen1dsfsi/anv-whisper-small-anv-zulu-first-batchOpen2openai/whisper-large-v3Open20openai/whisper-smallOpen17sitwala/whisper-large-anv-sotOpen35sitwala/whisper-large-v3-anv-sotOpen32sitwala/whisper-large-v3-turbo-anv-zul-150hOpen1sitwala/whisper-large-v3-turbo-anv-zul-250hOpen2sitwala/whisper-large-v3-turbo-anv-zul-50hOpen4

What did the model get wrong?

sitwala/whisper-large-v3-turbo-anv-zul-50hOpen   Example 60 of 100  ·  sample index 59

✅ What was actually said (isiZulu reference)
Abalimikufanelebaqeqeshwengezindlelaezilandelayo,[pause]ukulimaokuphumelelayo,ukuphathwakwezinsiza,ukwamukelaubuchwepheshekanyenokwaziizinguqukozesimosezulu.
🤖 What this model heard
abalimikufanelebaqeqeshwengezindlelazilandelayoukulimaokuphumelelayookuphathwakwezinsizaukwamkelaubuchwepheshekanyenokwaziizinguqukozesimosezulu
Correct
Wrong (different word)
Missed (skipped)
Extra (added)
13
Correct
3
Wrong
1
Missed
0
Extra
76%
Words right
0.412
WER
0.087
CER
19.67s
Duration
0.1s
Latency