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-3BOpen2facebook/omniASR-LLM-7BOpen2aadel4/omniASR-CTC-1B-v2Open2aadel4/omniASR-CTC-300M-v2Open2badrex/w2v-bert-2.0-zulu-asrOpen2dsfsi/anv-whisper-large-v3-turbo-anv-zulOpen2dsfsi/anv-whisper-small-anv-zulu-first-batchOpen2facebook/mms-1b-allOpen2openai/whisper-large-v3Open2openai/whisper-smallOpen4sitwala/whisper-large-anv-sotOpen2sitwala/whisper-large-v3-anv-sotOpen2sitwala/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?

sitwala/whisper-large-v3-anv-sotOpen   Example 95 of 100  ·  sample index 94

✅ What was actually said (isiZulu reference)
[n]nowesifazane.
🤖 What this model heard
wetsfasane
Correct
Wrong (different word)
Missed (skipped)
Extra (added)
0
Correct
1
Wrong
1
Missed
0
Extra
0%
Words right
1.000
WER
0.462
CER
0.99s
Duration
0.1s
Latency