DatasetLwaziANV

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Modelfacebook/omniASR-CTC-1BOpen6facebook/omniASR-CTC-300MOpen6facebook/omniASR-CTC-3BOpen6facebook/omniASR-LLM-1BOpen5facebook/omniASR-LLM-300MOpen6facebook/omniASR-LLM-3BOpen6facebook/omniASR-LLM-7BOpen4dsfsi/anv-whisper-large-v3-turbo-anv-zulOpen6dsfsi/anv-whisper-small-anv-zulu-first-batchOpen7openai/whisper-large-v3Open36openai/whisper-smallOpen23sitwala/whisper-large-anv-sotOpen48sitwala/whisper-large-v3-anv-sotOpen53sitwala/whisper-large-v3-turbo-anv-zul-150hOpen6sitwala/whisper-large-v3-turbo-anv-zul-250hOpen5sitwala/whisper-large-v3-turbo-anv-zul-50hOpen8

What did the model get wrong?

openai/whisper-smallOpen   Example 6 of 100  ·  sample index 5

✅ What was actually said (isiZulu reference)
Uku-adopthwakobuchwephesheobushangenyeyezindlelaumlimiangakhulisasivunonemaliengenayokodwangokuvamilelezidingoziyakhokhelwa.Isinyatheloesilandelayoukuhumushaimininingwaneyesimosezulungokwezelulekozezolimo.
🤖 What this model heard
ḍʰʰʰʰʰʰʰʰʰʰʰʰʰʰʰʰʰʰʰʰʰʰʰʰʰʰʰʰʰʰʰʰʰʰʰʰʰʰʰʰʰʰʰʰʰʰʰʰʰʰʰʰʰʰʰʰʰʰʰʰʰʰʰʰʰʰʰʰʰʰʰʰʰʰʰʰʰʰʰʰʰʰʰʰʰʰʰʰʰʰʰʰʰʰʰʰʰʰʰʰʰʰʰʰʰʰʰʰʰʰʰʰʰʰʰʰʰʰʰʰʰʰʰʰʰʰʰʰʰʰʰʰʰʰʰʰʰʰʰʰʰʰʰʰʰʰʰʰʰʰʰʰʰʰʰʰʰʰʰʰʰʰʰʰʰʰʰʰʰʰʰʰʰʰʰʰʰʰʰʰʰʰʰʰʰʰʰʰʰʰʰʰʰʰʰʰʰʰʰʰʰʰʰʰʰʰʰʰʰʰʰʰʰʰʰʰʰʰʰʰ�
Correct
Wrong (different word)
Missed (skipped)
Extra (added)
0
Correct
1
Wrong
22
Missed
0
Extra
0%
Words right
1.000
WER
1.000
CER
24.77s
Duration
0.3s
Latency