DatasetLwaziANV

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Modelfacebook/omniASR-CTC-1BOpen2facebook/omniASR-CTC-300MOpen3facebook/omniASR-CTC-3BOpen3facebook/omniASR-CTC-7BOpen4facebook/omniASR-LLM-1BOpen4facebook/omniASR-LLM-300MOpen4facebook/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-batchOpen4facebook/mms-1b-allOpen3openai/whisper-large-v3Open8openai/whisper-smallOpen11sitwala/whisper-large-anv-sotOpen21sitwala/whisper-large-v3-anv-sotOpen21sitwala/whisper-large-v3-turbo-anv-zul-150hOpen4sitwala/whisper-large-v3-turbo-anv-zul-250hOpen3sitwala/whisper-large-v3-turbo-anv-zul-50hOpen4

What did the model get wrong?

facebook/omniASR-LLM-300MOpen   Example 17 of 100  ·  sample index 16

✅ What was actually said (isiZulu reference)
wafauSamlauShawule[n]waseRehohobi,ngasemfuleniwabayinkosi,esikhundlenisakh-.
🤖 What this model heard
wafausamulaushawulewaserehohobingasemfuleniwabainkosiesikhundlenisakhe
Correct
Wrong (different word)
Missed (skipped)
Extra (added)
6
Correct
3
Wrong
1
Missed
0
Extra
60%
Words right
0.444
WER
0.074
CER
11.92s
Duration
0.7s
Latency