DatasetLwaziANV

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Modelfacebook/omniASR-CTC-1BOpen1facebook/omniASR-CTC-300MOpen1facebook/omniASR-CTC-3BOpen1facebook/omniASR-CTC-7BOpen2facebook/omniASR-LLM-1BOpen2facebook/omniASR-LLM-300MOpen2facebook/omniASR-LLM-3BOpen2facebook/omniASR-LLM-7BOpen2aadel4/omniASR-CTC-1B-v2Open2aadel4/omniASR-CTC-300M-v2Open3badrex/w2v-bert-2.0-zulu-asrOpen2dsfsi/anv-whisper-large-v3-turbo-anv-zulOpen2dsfsi/anv-whisper-small-anv-zulu-first-batchOpen5facebook/mms-1b-allOpen2openai/whisper-large-v3Open8openai/whisper-smallOpen9sitwala/whisper-large-anv-sotOpen12sitwala/whisper-large-v3-anv-sotOpen10sitwala/whisper-large-v3-turbo-anv-zul-150hOpen3sitwala/whisper-large-v3-turbo-anv-zul-250hOpen4sitwala/whisper-large-v3-turbo-anv-zul-50hOpen5

What did the model get wrong?

facebook/omniASR-CTC-3BOpen   Example 23 of 100  ·  sample index 22

✅ What was actually said (isiZulu reference)
wasalayedwauJakobewabam-kwabambananayeumuntu,kwazekwasa.
🤖 What this model heard
wasalayedwaujakobewabamwabambanayeumuntukwazekwasa
Correct
Wrong (different word)
Missed (skipped)
Extra (added)
8
Correct
1
Wrong
0
Missed
0
Extra
89%
Words right
0.444
WER
0.094
CER
6.71s
Duration
0.1s
Latency