DatasetLwaziANV

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Modelfacebook/omniASR-CTC-1BOpen8facebook/omniASR-CTC-300MOpen6facebook/omniASR-CTC-3BOpen5facebook/omniASR-CTC-7BOpen3facebook/omniASR-LLM-1BOpen6facebook/omniASR-LLM-300MOpen4facebook/omniASR-LLM-3BOpen3facebook/omniASR-LLM-7BOpen2aadel4/omniASR-CTC-1B-v2Open7aadel4/omniASR-CTC-300M-v2Open7badrex/w2v-bert-2.0-zulu-asrOpen3dsfsi/anv-whisper-large-v3-turbo-anv-zulOpen6dsfsi/anv-whisper-small-anv-zulu-first-batchOpen8facebook/mms-1b-allOpen6openai/whisper-large-v3Open11openai/whisper-smallOpen14sitwala/whisper-large-anv-sotOpen22sitwala/whisper-large-v3-anv-sotOpen26sitwala/whisper-large-v3-turbo-anv-zul-150hOpen7sitwala/whisper-large-v3-turbo-anv-zul-250hOpen7sitwala/whisper-large-v3-turbo-anv-zul-50hOpen7

What did the model get wrong?

facebook/omniASR-CTC-3BOpen   Example 56 of 100  ·  sample index 55

✅ What was actually said (isiZulu reference)
amadodanakaJakobeayeseficaababuleweyo,[s]aphangaumuzingokuba,babengcolisileudadewabo.
🤖 What this model heard
amadodanakajacobeayeseficaababulawayoaphangaumuzingokubababengcolisileudadewabo
Correct
Wrong (different word)
Missed (skipped)
Extra (added)
6
Correct
3
Wrong
1
Missed
1
Extra
60%
Words right
0.556
WER
0.078
CER
12.08s
Duration
0.1s
Latency