DatasetLwaziANV

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Modelfacebook/omniASR-CTC-1BOpen2facebook/omniASR-CTC-300MOpen2facebook/omniASR-CTC-3BOpen2facebook/omniASR-CTC-7BOpen2facebook/omniASR-LLM-1BOpen2facebook/omniASR-LLM-300MOpen2facebook/omniASR-LLM-3BOpen1facebook/omniASR-LLM-7BOpen0aadel4/omniASR-CTC-1B-v2Open2aadel4/omniASR-CTC-300M-v2Open2badrex/w2v-bert-2.0-zulu-asrOpen0dsfsi/anv-whisper-large-v3-turbo-anv-zulOpen1dsfsi/anv-whisper-small-anv-zulu-first-batchOpen1facebook/mms-1b-allOpen7openai/whisper-large-v3Open5openai/whisper-smallOpen7sitwala/whisper-large-anv-sotOpen10sitwala/whisper-large-v3-anv-sotOpen9sitwala/whisper-large-v3-turbo-anv-zul-150hOpen1sitwala/whisper-large-v3-turbo-anv-zul-250hOpen1sitwala/whisper-large-v3-turbo-anv-zul-50hOpen0

What did the model get wrong?

facebook/omniASR-LLM-300MOpen   Example 40 of 100  ·  sample index 39

✅ What was actually said (isiZulu reference)
yikwatayehorangaphambikwehoralesishiyagalombili.
🤖 What this model heard
yikwatayehorangaphambikwehorangesishiyagalombili
Correct
Wrong (different word)
Missed (skipped)
Extra (added)
4
Correct
1
Wrong
0
Missed
1
Extra
80%
Words right
0.400
WER
0.077
CER
4.97s
Duration
0.7s
Latency