DatasetLwaziANV

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Modelfacebook/omniASR-CTC-1BOpen5facebook/omniASR-CTC-300MOpen5facebook/omniASR-CTC-3BOpen5facebook/omniASR-CTC-7BOpen5facebook/omniASR-LLM-1BOpen5facebook/omniASR-LLM-300MOpen5facebook/omniASR-LLM-3BOpen5facebook/omniASR-LLM-7BOpen3aadel4/omniASR-CTC-1B-v2Open6aadel4/omniASR-CTC-300M-v2Open7badrex/w2v-bert-2.0-zulu-asrOpen7dsfsi/anv-whisper-large-v3-turbo-anv-zulOpen7dsfsi/anv-whisper-small-anv-zulu-first-batchOpen7facebook/mms-1b-allOpen7openai/whisper-large-v3Open21openai/whisper-smallOpen9sitwala/whisper-large-anv-sotOpen12sitwala/whisper-large-v3-anv-sotOpen9sitwala/whisper-large-v3-turbo-anv-zul-150hOpen8sitwala/whisper-large-v3-turbo-anv-zul-250hOpen7sitwala/whisper-large-v3-turbo-anv-zul-50hOpen7

What did the model get wrong?

dsfsi/anv-whisper-large-v3-turbo-anv-zulOpen   Example 42 of 100  ·  sample index 41

✅ What was actually said (isiZulu reference)
twentyeightuNdasa[n][s],amashum'amabilinesishiyagalombili,uNdasa.
🤖 What this model heard
28undasa22undasa
Correct
Wrong (different word)
Missed (skipped)
Extra (added)
2
Correct
2
Wrong
5
Missed
0
Extra
22%
Words right
0.875
WER
0.773
CER
5.86s
Duration
0.1s
Latency