DatasetLwaziANV

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Modelfacebook/omniASR-CTC-1BOpen4facebook/omniASR-CTC-300MOpen7facebook/omniASR-CTC-3BOpen3facebook/omniASR-CTC-7BOpen6facebook/omniASR-LLM-1BOpen4facebook/omniASR-LLM-300MOpen3facebook/omniASR-LLM-3BOpen4facebook/omniASR-LLM-7BOpen6aadel4/omniASR-CTC-1B-v2Open7aadel4/omniASR-CTC-300M-v2Open5badrex/w2v-bert-2.0-zulu-asrOpen6dsfsi/anv-whisper-large-v3-turbo-anv-zulOpen6dsfsi/anv-whisper-small-anv-zulu-first-batchOpen6facebook/mms-1b-allOpen5openai/whisper-large-v3Open10openai/whisper-smallOpen113sitwala/whisper-large-anv-sotOpen16sitwala/whisper-large-v3-anv-sotOpen17sitwala/whisper-large-v3-turbo-anv-zul-150hOpen6sitwala/whisper-large-v3-turbo-anv-zul-250hOpen6sitwala/whisper-large-v3-turbo-anv-zul-50hOpen6

What did the model get wrong?

openai/whisper-smallOpen   Example 25 of 100  ·  sample index 24

✅ What was actually said (isiZulu reference)
lendlelakaDokeyinhlekakhulu,ekuhleleniulimiinobucikobes-[n]besayens-.
🤖 What this model heard
lendelaṢāgādokiyīnṢegākuṢeṢelēṢuṢiṢiṢuṢiṢuṢiṢuṢiṢuṢiṢuṢiṢuṢiṢuṢiṢuṢiṢuṢiṢuṢiṢuṢiṢuṢiṢuṢiṢuṢiṢuṢiṢuṢiṢuṢiṢuṢiṢuṢiṢuṢiṢuṢiṢuṢiṢuṢiṢuṢiṢuṢiṢuṢiṢuṢiṢuṢiṢuṢiṢuṢiṢuṢiṢuṢiṢuṢiṢuṢiṢuṢiṢuṢiṢuṢiṢuṢiṢuṢiṢuṢiṢuṢiṢuṢiṢuṢiṢuṢiṢuṢiṢuṢiṢuṢiṢuṢiṢuṢiṢuṢi
Correct
Wrong (different word)
Missed (skipped)
Extra (added)
0
Correct
10
Wrong
0
Missed
103
Extra
0%
Words right
12.556
WER
4.284
CER
8.73s
Duration
0.3s
Latency