DatasetLwaziANV

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Modelfacebook/omniASR-CTC-1BOpen7facebook/omniASR-CTC-300MOpen8facebook/omniASR-CTC-3BOpen5facebook/omniASR-LLM-1BOpen5facebook/omniASR-LLM-300MOpen4facebook/omniASR-LLM-3BOpen4facebook/omniASR-LLM-7BOpen5dsfsi/anv-whisper-large-v3-turbo-anv-zulOpen3dsfsi/anv-whisper-small-anv-zulu-first-batchOpen3openai/whisper-large-v3Open26openai/whisper-smallOpen21sitwala/whisper-large-anv-sotOpen45sitwala/whisper-large-v3-anv-sotOpen42sitwala/whisper-large-v3-turbo-anv-zul-150hOpen3sitwala/whisper-large-v3-turbo-anv-zul-250hOpen3sitwala/whisper-large-v3-turbo-anv-zul-50hOpen3

What did the model get wrong?

sitwala/whisper-large-anv-sotOpen   Example 7 of 100  ·  sample index 6

✅ What was actually said (isiZulu reference)
Ikhandalembaliluyanwebekakuzekubeumkhwazanawembaliwendlalekangokuphelelefuthiamaringiangaphandleediskiyezimbaliaqaleukukhululaumungunomaimpova,Isithombe3b.
🤖 What this model heard
ekandalembalengleyanwebegaohosebobehomokwazanahoembalenghoentlalekanghopelelefotsheamarengeankaphantleetiskeyezengbalengakaleokolahomonggonormainpofaestombe3b
Correct
Wrong (different word)
Missed (skipped)
Extra (added)
1
Correct
20
Wrong
0
Missed
25
Extra
5%
Words right
2.190
WER
0.526
CER
19.13s
Duration
0.3s
Latency