DatasetLwaziANV

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Modelfacebook/omniASR-CTC-1BOpen8facebook/omniASR-CTC-300MOpen5facebook/omniASR-CTC-3BOpen6facebook/omniASR-CTC-7BOpen6facebook/omniASR-LLM-1BOpen3facebook/omniASR-LLM-300MOpen4facebook/omniASR-LLM-3BOpen2facebook/omniASR-LLM-7BOpen3aadel4/omniASR-CTC-1B-v2Open5aadel4/omniASR-CTC-300M-v2Open5badrex/w2v-bert-2.0-zulu-asrOpen3dsfsi/anv-whisper-large-v3-turbo-anv-zulOpen5dsfsi/anv-whisper-small-anv-zulu-first-batchOpen6facebook/mms-1b-allOpen3openai/whisper-large-v3Open6openai/whisper-smallOpen5sitwala/whisper-large-anv-sotOpen8sitwala/whisper-large-v3-anv-sotOpen9sitwala/whisper-large-v3-turbo-anv-zul-150hOpen4sitwala/whisper-large-v3-turbo-anv-zul-250hOpen4sitwala/whisper-large-v3-turbo-anv-zul-50hOpen3

What did the model get wrong?

sitwala/whisper-large-v3-turbo-anv-zul-250hOpen   Example 90 of 100  ·  sample index 89

✅ What was actually said (isiZulu reference)
wo,phelalowo,mntanami,usabaukuganga.
🤖 What this model heard
wowphelalowmhlanamiusabaukugaba
Correct
Wrong (different word)
Missed (skipped)
Extra (added)
2
Correct
4
Wrong
0
Missed
0
Extra
33%
Words right
0.667
WER
0.220
CER
4.31s
Duration
0.0s
Latency