DatasetLwaziANV

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Modelfacebook/omniASR-CTC-1BOpen3facebook/omniASR-CTC-300MOpen3facebook/omniASR-CTC-3BOpen4facebook/omniASR-CTC-7BOpen3facebook/omniASR-LLM-1BOpen2facebook/omniASR-LLM-300MOpen2facebook/omniASR-LLM-3BOpen2facebook/omniASR-LLM-7BOpen3aadel4/omniASR-CTC-1B-v2Open3aadel4/omniASR-CTC-300M-v2Open4badrex/w2v-bert-2.0-zulu-asrOpen3dsfsi/anv-whisper-large-v3-turbo-anv-zulOpen3dsfsi/anv-whisper-small-anv-zulu-first-batchOpen3facebook/mms-1b-allOpen3openai/whisper-large-v3Open5openai/whisper-smallOpen6sitwala/whisper-large-anv-sotOpen11sitwala/whisper-large-v3-anv-sotOpen12sitwala/whisper-large-v3-turbo-anv-zul-150hOpen3sitwala/whisper-large-v3-turbo-anv-zul-250hOpen3sitwala/whisper-large-v3-turbo-anv-zul-50hOpen3

What did the model get wrong?

openai/whisper-smallOpen   Example 18 of 100  ·  sample index 17

✅ What was actually said (isiZulu reference)
khonzaniabantu,bakaMahori,uyisekaShekemi.
🤖 What this model heard
kunzaniabantubagamahoruuisigashikili.
Correct
Wrong (different word)
Missed (skipped)
Extra (added)
1
Correct
4
Wrong
0
Missed
2
Extra
20%
Words right
1.400
WER
0.356
CER
5.39s
Duration
0.3s
Latency