DatasetLwaziANV

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Modelfacebook/omniASR-CTC-1BOpen4facebook/omniASR-CTC-300MOpen5facebook/omniASR-CTC-3BOpen4facebook/omniASR-CTC-7BOpen4facebook/omniASR-LLM-1BOpen5facebook/omniASR-LLM-300MOpen5facebook/omniASR-LLM-3BOpen4facebook/omniASR-LLM-7BOpen4aadel4/omniASR-CTC-1B-v2Open4aadel4/omniASR-CTC-300M-v2Open6badrex/w2v-bert-2.0-zulu-asrOpen4dsfsi/anv-whisper-large-v3-turbo-anv-zulOpen4dsfsi/anv-whisper-small-anv-zulu-first-batchOpen5facebook/mms-1b-allOpen5openai/whisper-large-v3Open13openai/whisper-smallOpen8sitwala/whisper-large-anv-sotOpen12sitwala/whisper-large-v3-anv-sotOpen14sitwala/whisper-large-v3-turbo-anv-zul-150hOpen4sitwala/whisper-large-v3-turbo-anv-zul-250hOpen4sitwala/whisper-large-v3-turbo-anv-zul-50hOpen6

What did the model get wrong?

facebook/omniASR-CTC-1BOpen   Example 58 of 100  ·  sample index 57

✅ What was actually said (isiZulu reference)
mtsheleukuthi[s]asizosatshiswangegamalikaNkulunkulu[s]thina.
🤖 What this model heard
nitsheleukuthiasizusatshiswangegamalikankulunkuluthina
Correct
Wrong (different word)
Missed (skipped)
Extra (added)
4
Correct
2
Wrong
2
Missed
0
Extra
50%
Words right
0.500
WER
0.068
CER
7.87s
Duration
0.2s
Latency