DatasetLwaziANV

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Modelfacebook/omniASR-CTC-1BOpen11facebook/omniASR-CTC-300MOpen13facebook/omniASR-CTC-3BOpen4facebook/omniASR-LLM-1BOpen8facebook/omniASR-LLM-300MOpen8facebook/omniASR-LLM-3BOpen5facebook/omniASR-LLM-7BOpen2dsfsi/anv-whisper-large-v3-turbo-anv-zulOpen3dsfsi/anv-whisper-small-anv-zulu-first-batchOpen7openai/whisper-large-v3Open32openai/whisper-smallOpen23sitwala/whisper-large-anv-sotOpen51sitwala/whisper-large-v3-anv-sotOpen54sitwala/whisper-large-v3-turbo-anv-zul-150hOpen6sitwala/whisper-large-v3-turbo-anv-zul-250hOpen3sitwala/whisper-large-v3-turbo-anv-zul-50hOpen8

What did the model get wrong?

sitwala/whisper-large-v3-anv-sotOpen   Example 20 of 100  ·  sample index 19

✅ What was actually said (isiZulu reference)
Encazelweniyezinhloboezintshaezalandelaeminyakeniembalwakamuva,uTemmincknozakwabobaphikisanangokuthiukutholakalakwalezizinhlobokufanelekuboniswekuWied-Neuwied,owayengomunyewabahambibokuqalaabalethaiziboneloeYurophu.
🤖 What this model heard
enngwezilwiniezintloboezentjhaezalandelaenyageneembalwakamolaotshemnekenozakwabobaphekisananghokotshelaotshwelakahalakwalezintloboofaneleoboneswebowagenweleowaengomonyewabahambeboqalaabaletshaeziboneleeyroku
Correct
Wrong (different word)
Missed (skipped)
Extra (added)
0
Correct
23
Wrong
0
Missed
31
Extra
0%
Words right
2.348
WER
0.409
CER
23.62s
Duration
0.3s
Latency