DatasetLwaziANV

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Modelfacebook/omniASR-CTC-1BOpen3facebook/omniASR-CTC-300MOpen3facebook/omniASR-CTC-3BOpen2facebook/omniASR-CTC-7BOpen3facebook/omniASR-LLM-1BOpen1facebook/omniASR-LLM-300MOpen3facebook/omniASR-LLM-3BOpen1facebook/omniASR-LLM-7BOpen1aadel4/omniASR-CTC-1B-v2Open2aadel4/omniASR-CTC-300M-v2Open3badrex/w2v-bert-2.0-zulu-asrOpen1dsfsi/anv-whisper-large-v3-turbo-anv-zulOpen2dsfsi/anv-whisper-small-anv-zulu-first-batchOpen2facebook/mms-1b-allOpen2openai/whisper-large-v3Open6openai/whisper-smallOpen9sitwala/whisper-large-anv-sotOpen11sitwala/whisper-large-v3-anv-sotOpen12sitwala/whisper-large-v3-turbo-anv-zul-150hOpen2sitwala/whisper-large-v3-turbo-anv-zul-250hOpen2sitwala/whisper-large-v3-turbo-anv-zul-50hOpen2

What did the model get wrong?

facebook/omniASR-LLM-7BOpen   Example 49 of 100  ·  sample index 48

✅ What was actually said (isiZulu reference)
[s]Catherine,bengizocelaukushayelaubabaucingo,baba.
🤖 What this model heard
catherinebengizocelaukushayelaubabaucingobaba
Correct
Wrong (different word)
Missed (skipped)
Extra (added)
6
Correct
0
Wrong
1
Missed
0
Extra
86%
Words right
0.500
WER
0.057
CER
6.61s
Duration
0.6s
Latency