DatasetLwaziANV

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Modelfacebook/omniASR-CTC-1BOpen3facebook/omniASR-CTC-300MOpen3facebook/omniASR-CTC-3BOpen3facebook/omniASR-CTC-7BOpen4facebook/omniASR-LLM-1BOpen3facebook/omniASR-LLM-300MOpen3facebook/omniASR-LLM-3BOpen3facebook/omniASR-LLM-7BOpen3aadel4/omniASR-CTC-1B-v2Open6aadel4/omniASR-CTC-300M-v2Open6badrex/w2v-bert-2.0-zulu-asrOpen6dsfsi/anv-whisper-large-v3-turbo-anv-zulOpen6dsfsi/anv-whisper-small-anv-zulu-first-batchOpen6facebook/mms-1b-allOpen5openai/whisper-large-v3Open9openai/whisper-smallOpen9sitwala/whisper-large-anv-sotOpen17sitwala/whisper-large-v3-anv-sotOpen13sitwala/whisper-large-v3-turbo-anv-zul-150hOpen6sitwala/whisper-large-v3-turbo-anv-zul-250hOpen6sitwala/whisper-large-v3-turbo-anv-zul-50hOpen5

What did the model get wrong?

sitwala/whisper-large-v3-turbo-anv-zul-50hOpen   Example 85 of 100  ·  sample index 84

✅ What was actually said (isiZulu reference)
ngalendlela[s],ngokuhambakwesikhathibayafunda[n]ukuyifenye--ufe-ukufinyeza.
🤖 What this model heard
ngalendlelangokuhambakwesikhathibayafundaukuyifenyeza
Correct
Wrong (different word)
Missed (skipped)
Extra (added)
4
Correct
1
Wrong
4
Missed
0
Extra
44%
Words right
0.500
WER
0.250
CER
6.89s
Duration
0.0s
Latency