DatasetLwaziANV

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Modelfacebook/omniASR-CTC-1BOpen3facebook/omniASR-CTC-300MOpen5facebook/omniASR-CTC-3BOpen4facebook/omniASR-CTC-7BOpen3facebook/omniASR-LLM-1BOpen4facebook/omniASR-LLM-300MOpen4facebook/omniASR-LLM-3BOpen2facebook/omniASR-LLM-7BOpen3aadel4/omniASR-CTC-1B-v2Open4aadel4/omniASR-CTC-300M-v2Open3badrex/w2v-bert-2.0-zulu-asrOpen4dsfsi/anv-whisper-large-v3-turbo-anv-zulOpen5dsfsi/anv-whisper-small-anv-zulu-first-batchOpen8facebook/mms-1b-allOpen3openai/whisper-large-v3Open11openai/whisper-smallOpen9sitwala/whisper-large-anv-sotOpen12sitwala/whisper-large-v3-anv-sotOpen12sitwala/whisper-large-v3-turbo-anv-zul-150hOpen4sitwala/whisper-large-v3-turbo-anv-zul-250hOpen4sitwala/whisper-large-v3-turbo-anv-zul-50hOpen4

What did the model get wrong?

facebook/omniASR-LLM-1BOpen   Example 74 of 100  ·  sample index 73

✅ What was actually said (isiZulu reference)
[n]iqandaiqandakuthathukuthathu,kunekunyekubilikubili,kuthathu,isikhombisa.
🤖 What this model heard
qandaqandakuthathukuthathukunekunyekubilikubilikuthathusikhombise
Correct
Wrong (different word)
Missed (skipped)
Extra (added)
7
Correct
3
Wrong
1
Missed
0
Extra
64%
Words right
0.600
WER
0.099
CER
5.94s
Duration
0.4s
Latency