DatasetLwaziANV

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Modelfacebook/omniASR-CTC-1BOpen4facebook/omniASR-CTC-300MOpen4facebook/omniASR-CTC-3BOpen4facebook/omniASR-CTC-7BOpen4facebook/omniASR-LLM-1BOpen4facebook/omniASR-LLM-300MOpen2facebook/omniASR-LLM-3BOpen3facebook/omniASR-LLM-7BOpen3aadel4/omniASR-CTC-1B-v2Open4aadel4/omniASR-CTC-300M-v2Open3badrex/w2v-bert-2.0-zulu-asrOpen4dsfsi/anv-whisper-large-v3-turbo-anv-zulOpen4dsfsi/anv-whisper-small-anv-zulu-first-batchOpen4facebook/mms-1b-allOpen4openai/whisper-large-v3Open7openai/whisper-smallOpen4sitwala/whisper-large-anv-sotOpen4sitwala/whisper-large-v3-anv-sotOpen4sitwala/whisper-large-v3-turbo-anv-zul-150hOpen4sitwala/whisper-large-v3-turbo-anv-zul-250hOpen3sitwala/whisper-large-v3-turbo-anv-zul-50hOpen3

What did the model get wrong?

sitwala/whisper-large-v3-turbo-anv-zul-150hOpen   Example 94 of 100  ·  sample index 93

✅ What was actually said (isiZulu reference)
ngamashumiamathathu[n]nesithupha.
🤖 What this model heard
ama30
Correct
Wrong (different word)
Missed (skipped)
Extra (added)
0
Correct
2
Wrong
2
Missed
0
Extra
0%
Words right
1.000
WER
0.875
CER
1.75s
Duration
0.0s
Latency