DatasetLwaziANV

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Modelfacebook/omniASR-CTC-1BOpen6facebook/omniASR-CTC-300MOpen7facebook/omniASR-CTC-3BOpen6facebook/omniASR-CTC-7BOpen6facebook/omniASR-LLM-1BOpen6facebook/omniASR-LLM-300MOpen6facebook/omniASR-LLM-3BOpen4facebook/omniASR-LLM-7BOpen4aadel4/omniASR-CTC-1B-v2Open7aadel4/omniASR-CTC-300M-v2Open7badrex/w2v-bert-2.0-zulu-asrOpen7dsfsi/anv-whisper-large-v3-turbo-anv-zulOpen7dsfsi/anv-whisper-small-anv-zulu-first-batchOpen9facebook/mms-1b-allOpen7openai/whisper-large-v3Open9openai/whisper-smallOpen11sitwala/whisper-large-anv-sotOpen8sitwala/whisper-large-v3-anv-sotOpen9sitwala/whisper-large-v3-turbo-anv-zul-150hOpen7sitwala/whisper-large-v3-turbo-anv-zul-250hOpen6sitwala/whisper-large-v3-turbo-anv-zul-50hOpen6

What did the model get wrong?

facebook/omniASR-CTC-3BOpen   Example 20 of 100  ·  sample index 19

✅ What was actually said (isiZulu reference)
basukaoHag-oHagihagi-,bamisaeJolda-e-e-eJolbakha.
🤖 What this model heard
basukaohadohadihadbamisaejolda-eeejolbata
Correct
Wrong (different word)
Missed (skipped)
Extra (added)
3
Correct
6
Wrong
0
Missed
0
Extra
33%
Words right
0.889
WER
0.246
CER
6.57s
Duration
0.1s
Latency