DatasetLwaziANV

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Modelfacebook/omniASR-CTC-1BOpen6facebook/omniASR-CTC-300MOpen7facebook/omniASR-CTC-3BOpen5facebook/omniASR-CTC-7BOpen7facebook/omniASR-LLM-1BOpen6facebook/omniASR-LLM-300MOpen7facebook/omniASR-LLM-3BOpen6facebook/omniASR-LLM-7BOpen5aadel4/omniASR-CTC-1B-v2Open5aadel4/omniASR-CTC-300M-v2Open6badrex/w2v-bert-2.0-zulu-asrOpen6dsfsi/anv-whisper-large-v3-turbo-anv-zulOpen7dsfsi/anv-whisper-small-anv-zulu-first-batchOpen7facebook/mms-1b-allOpen5openai/whisper-large-v3Open13openai/whisper-smallOpen148sitwala/whisper-large-anv-sotOpen14sitwala/whisper-large-v3-anv-sotOpen16sitwala/whisper-large-v3-turbo-anv-zul-150hOpen8sitwala/whisper-large-v3-turbo-anv-zul-250hOpen8sitwala/whisper-large-v3-turbo-anv-zul-50hOpen7

What did the model get wrong?

sitwala/whisper-large-v3-turbo-anv-zul-50hOpen   Example 53 of 100  ·  sample index 52

✅ What was actually said (isiZulu reference)
[s][n]ufike,wachela,uTajewo,[n]ngezintelezizokumvikela,[n]nokumhlanzafuthi.
🤖 What this model heard
ufikewaqhelautajiwongezintelezizokuvikelanokumhlanzafuthi
Correct
Wrong (different word)
Missed (skipped)
Extra (added)
4
Correct
3
Wrong
4
Missed
0
Extra
36%
Words right
0.714
WER
0.116
CER
9.87s
Duration
0.0s
Latency