DatasetLwaziANV

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Modelfacebook/omniASR-CTC-1BOpen5facebook/omniASR-CTC-300MOpen6facebook/omniASR-CTC-3BOpen6facebook/omniASR-CTC-7BOpen5facebook/omniASR-LLM-1BOpen4facebook/omniASR-LLM-300MOpen5facebook/omniASR-LLM-3BOpen5facebook/omniASR-LLM-7BOpen4aadel4/omniASR-CTC-1B-v2Open4aadel4/omniASR-CTC-300M-v2Open6badrex/w2v-bert-2.0-zulu-asrOpen5dsfsi/anv-whisper-large-v3-turbo-anv-zulOpen6dsfsi/anv-whisper-small-anv-zulu-first-batchOpen7facebook/mms-1b-allOpen7openai/whisper-large-v3Open9openai/whisper-smallOpen10sitwala/whisper-large-anv-sotOpen16sitwala/whisper-large-v3-anv-sotOpen18sitwala/whisper-large-v3-turbo-anv-zul-150hOpen6sitwala/whisper-large-v3-turbo-anv-zul-250hOpen7sitwala/whisper-large-v3-turbo-anv-zul-50hOpen5

What did the model get wrong?

facebook/omniASR-LLM-3BOpen   Example 30 of 100  ·  sample index 29

✅ What was actually said (isiZulu reference)
wahlalaehlanelasePharanuuninawamthathelaumfazi,[n]ezwenilaseGibithe.
🤖 What this model heard
wahlalaehlanalaseparanuuninawamthathelaumfaziezenilasegibhidi
Correct
Wrong (different word)
Missed (skipped)
Extra (added)
4
Correct
4
Wrong
1
Missed
0
Extra
44%
Words right
0.625
WER
0.125
CER
8.26s
Duration
0.5s
Latency