DatasetLwaziANV

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Modelfacebook/omniASR-CTC-1BOpen3facebook/omniASR-CTC-300MOpen3facebook/omniASR-CTC-3BOpen6facebook/omniASR-CTC-7BOpen3facebook/omniASR-LLM-1BOpen3facebook/omniASR-LLM-300MOpen3facebook/omniASR-LLM-3BOpen3facebook/omniASR-LLM-7BOpen3aadel4/omniASR-CTC-1B-v2Open4aadel4/omniASR-CTC-300M-v2Open4badrex/w2v-bert-2.0-zulu-asrOpen3dsfsi/anv-whisper-large-v3-turbo-anv-zulOpen4dsfsi/anv-whisper-small-anv-zulu-first-batchOpen4facebook/mms-1b-allOpen5openai/whisper-large-v3Open3openai/whisper-smallOpen7sitwala/whisper-large-anv-sotOpen5sitwala/whisper-large-v3-anv-sotOpen5sitwala/whisper-large-v3-turbo-anv-zul-150hOpen4sitwala/whisper-large-v3-turbo-anv-zul-250hOpen4sitwala/whisper-large-v3-turbo-anv-zul-50hOpen3

What did the model get wrong?

aadel4/omniASR-CTC-300M-v2Open   Example 96 of 100  ·  sample index 95

✅ What was actually said (isiZulu reference)
ngikhuluma[n]kumakhal'ekhukhwini.
🤖 What this model heard
खुरममाखलेखुखुइन
Correct
Wrong (different word)
Missed (skipped)
Extra (added)
0
Correct
3
Wrong
0
Missed
1
Extra
0%
Words right
2.000
WER
0.968
CER
1.64s
Duration
0.0s
Latency