DatasetLwaziANV

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Modelfacebook/omniASR-CTC-1BOpen6facebook/omniASR-CTC-300MOpen7facebook/omniASR-CTC-3BOpen7facebook/omniASR-LLM-1BOpen5facebook/omniASR-LLM-300MOpen7facebook/omniASR-LLM-3BOpen3facebook/omniASR-LLM-7BOpen3dsfsi/anv-whisper-large-v3-turbo-anv-zulOpen4dsfsi/anv-whisper-small-anv-zulu-first-batchOpen8openai/whisper-large-v3Open38openai/whisper-smallOpen90sitwala/whisper-large-anv-sotOpen53sitwala/whisper-large-v3-anv-sotOpen65sitwala/whisper-large-v3-turbo-anv-zul-150hOpen4sitwala/whisper-large-v3-turbo-anv-zul-250hOpen5sitwala/whisper-large-v3-turbo-anv-zul-50hOpen7

What did the model get wrong?

facebook/omniASR-CTC-300MOpen   Example 61 of 100  ·  sample index 60

✅ What was actually said (isiZulu reference)
Ngiyakhumbulangosukuengahambakhonaemziniwakithi.Kwakukhonaumoyaopholilefuthingizwaumuzwawokuthula.Ngithintaizihlahlaezindalafuthingakhumbulaizikhathingidlalakonala.Lokhukwanginikaumuzwangokuxhumananomndeniwamifuthiwangikhumbuzaukubalulekakwemvelo
🤖 What this model heard
ngiyakhumbulangosukuengahambakhonaemziniakithikwakhonaumoyopholelefuthingizwaumuzwawokuthulangithintaizihlahlaezindalafuthingakhumbulaizikhathingidlalakhonalalokhukwanginikaumuzwawokuqhumananomndeniwamifuthikwangikhumbuzaukubalulekakwemvelo
Correct
Wrong (different word)
Missed (skipped)
Extra (added)
25
Correct
7
Wrong
0
Missed
0
Extra
78%
Words right
0.281
WER
0.051
CER
28.48s
Duration
0.0s
Latency