DatasetLwaziANV

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Modelfacebook/omniASR-CTC-1BOpen10facebook/omniASR-CTC-300MOpen11facebook/omniASR-CTC-3BOpen10facebook/omniASR-CTC-7BOpen10facebook/omniASR-LLM-1BOpen11facebook/omniASR-LLM-300MOpen10facebook/omniASR-LLM-3BOpen8facebook/omniASR-LLM-7BOpen11aadel4/omniASR-CTC-1B-v2Open10aadel4/omniASR-CTC-300M-v2Open9badrex/w2v-bert-2.0-zulu-asrOpen9dsfsi/anv-whisper-large-v3-turbo-anv-zulOpen10dsfsi/anv-whisper-small-anv-zulu-first-batchOpen13facebook/mms-1b-allOpen10openai/whisper-large-v3Open14openai/whisper-smallOpen14sitwala/whisper-large-anv-sotOpen19sitwala/whisper-large-v3-anv-sotOpen22sitwala/whisper-large-v3-turbo-anv-zul-150hOpen10sitwala/whisper-large-v3-turbo-anv-zul-250hOpen10sitwala/whisper-large-v3-turbo-anv-zul-50hOpen11

What did the model get wrong?

facebook/mms-1b-allOpen   Example 50 of 100  ·  sample index 49

✅ What was actually said (isiZulu reference)
[s]acingwa,acingwa,uChakijanelize[s],ligcineselimtshope-ibhubesi,[s]ekheliselimtholileibhubesi.
🤖 What this model heard
acingwaacingwaucakijanelizeligcineselimtholileibhubezi
Correct
Wrong (different word)
Missed (skipped)
Extra (added)
4
Correct
4
Wrong
6
Missed
0
Extra
29%
Words right
0.833
WER
0.402
CER
13.31s
Duration
0.0s
Latency