DatasetLwaziANV

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Modelfacebook/omniASR-CTC-1BOpen7facebook/omniASR-CTC-300MOpen4facebook/omniASR-CTC-3BOpen6facebook/omniASR-CTC-7BOpen6facebook/omniASR-LLM-1BOpen6facebook/omniASR-LLM-300MOpen8facebook/omniASR-LLM-3BOpen6facebook/omniASR-LLM-7BOpen5aadel4/omniASR-CTC-1B-v2Open6aadel4/omniASR-CTC-300M-v2Open6badrex/w2v-bert-2.0-zulu-asrOpen3dsfsi/anv-whisper-large-v3-turbo-anv-zulOpen8dsfsi/anv-whisper-small-anv-zulu-first-batchOpen6facebook/mms-1b-allOpen6openai/whisper-large-v3Open7openai/whisper-smallOpen295sitwala/whisper-large-anv-sotOpen6sitwala/whisper-large-v3-anv-sotOpen5sitwala/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?

dsfsi/anv-whisper-small-anv-zulu-first-batchOpen   Example 68 of 100  ·  sample index 67

✅ What was actually said (isiZulu reference)
[s]angikashadi.
🤖 What this model heard
ايهدودودوبسيسيسةمغاشداء
Correct
Wrong (different word)
Missed (skipped)
Extra (added)
0
Correct
2
Wrong
0
Missed
4
Extra
0%
Words right
6.000
WER
2.333
CER
2.12s
Duration
0.1s
Latency