DatasetLwaziANV

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Modelfacebook/omniASR-CTC-1BOpen8facebook/omniASR-CTC-300MOpen7facebook/omniASR-CTC-3BOpen7facebook/omniASR-LLM-1BOpen7facebook/omniASR-LLM-300MOpen7facebook/omniASR-LLM-3BOpen6facebook/omniASR-LLM-7BOpen7dsfsi/anv-whisper-large-v3-turbo-anv-zulOpen4dsfsi/anv-whisper-small-anv-zulu-first-batchOpen5openai/whisper-large-v3Open26openai/whisper-smallOpen32sitwala/whisper-large-anv-sotOpen44sitwala/whisper-large-v3-anv-sotOpen44sitwala/whisper-large-v3-turbo-anv-zul-150hOpen3sitwala/whisper-large-v3-turbo-anv-zul-250hOpen4sitwala/whisper-large-v3-turbo-anv-zul-50hOpen4

What did the model get wrong?

sitwala/whisper-large-anv-sotOpen   Example 1 of 100  ·  sample index 0

✅ What was actually said (isiZulu reference)
UmaidathayakhoyangonyakaodluleikhombisauMhlaba3ngesivunoesingaphansikwe-avarejifuthi,ngakhokufanelesibhekengokuqaphelaesimo.MhlambeuMhlaba3wesweleamanyuthriyentiathile.
🤖 What this model heard
oomaetatshayaakoyangonyagaohloleekongbesaomhlaba3ngesevonoesengkaphangseweavaretefotshenkaakokofanelesipekenngwehokaphelaesenamhlangbeomhlaba3hoesoeleamanyuytriyenteatshele
Correct
Wrong (different word)
Missed (skipped)
Extra (added)
2
Correct
21
Wrong
0
Missed
23
Extra
9%
Words right
1.913
WER
0.437
CER
21.85s
Duration
0.3s
Latency