DatasetLwaziANV

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Modelfacebook/omniASR-CTC-1BOpen3facebook/omniASR-CTC-300MOpen3facebook/omniASR-CTC-3BOpen2facebook/omniASR-CTC-7BOpen2facebook/omniASR-LLM-1BOpen2facebook/omniASR-LLM-300MOpen2facebook/omniASR-LLM-3BOpen2facebook/omniASR-LLM-7BOpen2aadel4/omniASR-CTC-1B-v2Open4aadel4/omniASR-CTC-300M-v2Open3badrex/w2v-bert-2.0-zulu-asrOpen3dsfsi/anv-whisper-large-v3-turbo-anv-zulOpen3dsfsi/anv-whisper-small-anv-zulu-first-batchOpen5facebook/mms-1b-allOpen3openai/whisper-large-v3Open5openai/whisper-smallOpen7sitwala/whisper-large-anv-sotOpen10sitwala/whisper-large-v3-anv-sotOpen8sitwala/whisper-large-v3-turbo-anv-zul-150hOpen4sitwala/whisper-large-v3-turbo-anv-zul-250hOpen2sitwala/whisper-large-v3-turbo-anv-zul-50hOpen4

What did the model get wrong?

facebook/omniASR-CTC-3BOpen   Example 81 of 100  ·  sample index 80

✅ What was actually said (isiZulu reference)
ah,silimandini,ucabangaukuthiangazihhe?
🤖 What this model heard
ahhasilimandiniucabangaukuthiangaziehhe
Correct
Wrong (different word)
Missed (skipped)
Extra (added)
5
Correct
2
Wrong
0
Missed
0
Extra
71%
Words right
0.429
WER
0.111
CER
5.08s
Duration
0.0s
Latency