DatasetLwaziANV

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Modelfacebook/omniASR-CTC-1BOpen9facebook/omniASR-CTC-300MOpen10facebook/omniASR-CTC-3BOpen9facebook/omniASR-LLM-1BOpen7facebook/omniASR-LLM-300MOpen10facebook/omniASR-LLM-3BOpen10facebook/omniASR-LLM-7BOpen4dsfsi/anv-whisper-large-v3-turbo-anv-zulOpen6dsfsi/anv-whisper-small-anv-zulu-first-batchOpen9openai/whisper-large-v3Open17openai/whisper-smallOpen14sitwala/whisper-large-anv-sotOpen27sitwala/whisper-large-v3-anv-sotOpen30sitwala/whisper-large-v3-turbo-anv-zul-150hOpen5sitwala/whisper-large-v3-turbo-anv-zul-250hOpen6sitwala/whisper-large-v3-turbo-anv-zul-50hOpen5

What did the model get wrong?

openai/whisper-smallOpen   Example 25 of 100  ·  sample index 24

✅ What was actually said (isiZulu reference)
UsukulokuzalwalukaChhatrapatiShivajiolusemthethwenilungoFebhuwari19,1630,kephaezinyeizazi-mlandozikubekanjengonyakaka-1627.
🤖 What this model heard
ḍ្្្្្្្្្្្្្្្្្្្្្្្្្្្្្្្្្្្្្្្្្្្្្្្្្្្្្្្្្្្្្្្្្្្្្្្្្្្្្្្្្្្្្្្្្្្្្្្្្្្្្្្្្្្្្្្្្្្្្្្្្្្្្្្្្្្្្្្្្្្្្្្្្្្
Correct
Wrong (different word)
Missed (skipped)
Extra (added)
0
Correct
1
Wrong
13
Missed
0
Extra
0%
Words right
1.000
WER
1.088
CER
18.50s
Duration
0.3s
Latency