DatasetLwaziANV

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Modelfacebook/omniASR-CTC-1BOpen2facebook/omniASR-CTC-300MOpen3facebook/omniASR-CTC-3BOpen1facebook/omniASR-CTC-7BOpen3facebook/omniASR-LLM-1BOpen1facebook/omniASR-LLM-300MOpen1facebook/omniASR-LLM-3BOpen1facebook/omniASR-LLM-7BOpen1aadel4/omniASR-CTC-1B-v2Open1aadel4/omniASR-CTC-300M-v2Open3badrex/w2v-bert-2.0-zulu-asrOpen2dsfsi/anv-whisper-large-v3-turbo-anv-zulOpen1dsfsi/anv-whisper-small-anv-zulu-first-batchOpen6facebook/mms-1b-allOpen3openai/whisper-large-v3Open7openai/whisper-smallOpen8sitwala/whisper-large-anv-sotOpen7sitwala/whisper-large-v3-anv-sotOpen14sitwala/whisper-large-v3-turbo-anv-zul-150hOpen1sitwala/whisper-large-v3-turbo-anv-zul-250hOpen1sitwala/whisper-large-v3-turbo-anv-zul-50hOpen2

What did the model get wrong?

dsfsi/anv-whisper-small-anv-zulu-first-batchOpen   Example 78 of 100  ·  sample index 77

✅ What was actually said (isiZulu reference)
lethiweaken-,ngiyengasekhayangizobuyakhonamanje.
🤖 What this model heard
lethiweakingiyengasekhayangizobuweyakhonamanje
Correct
Wrong (different word)
Missed (skipped)
Extra (added)
2
Correct
5
Wrong
1
Missed
0
Extra
25%
Words right
0.875
WER
0.218
CER
4.88s
Duration
0.1s
Latency