DatasetLwaziANV

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Modelfacebook/omniASR-CTC-1BOpen5facebook/omniASR-CTC-300MOpen5facebook/omniASR-CTC-3BOpen5facebook/omniASR-LLM-1BOpen6facebook/omniASR-LLM-300MOpen6facebook/omniASR-LLM-3BOpen5facebook/omniASR-LLM-7BOpen5dsfsi/anv-whisper-large-v3-turbo-anv-zulOpen5dsfsi/anv-whisper-small-anv-zulu-first-batchOpen8openai/whisper-large-v3Open14openai/whisper-smallOpen11sitwala/whisper-large-anv-sotOpen24sitwala/whisper-large-v3-anv-sotOpen30sitwala/whisper-large-v3-turbo-anv-zul-150hOpen6sitwala/whisper-large-v3-turbo-anv-zul-250hOpen6sitwala/whisper-large-v3-turbo-anv-zul-50hOpen8

What did the model get wrong?

sitwala/whisper-large-v3-anv-sotOpen   Example 47 of 100  ·  sample index 46

✅ What was actually said (isiZulu reference)
Isibaloesipheleleesiqinisekisweelabhorethrisabantuabahlaselweyilesisifongonyakawezi2017ngama-727.
🤖 What this model heard
esebaloesepheleleeseqenesekeseweeleboretjhesabantuabahlaselweelesefonkwengyakawas2017nkama727
Correct
Wrong (different word)
Missed (skipped)
Extra (added)
0
Correct
11
Wrong
0
Missed
19
Extra
0%
Words right
2.727
WER
0.411
CER
14.55s
Duration
0.3s
Latency