DatasetLwaziANV

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Modelfacebook/omniASR-CTC-1BOpen10facebook/omniASR-CTC-300MOpen8facebook/omniASR-CTC-3BOpen8facebook/omniASR-LLM-1BOpen7facebook/omniASR-LLM-300MOpen9facebook/omniASR-LLM-3BOpen7facebook/omniASR-LLM-7BOpen7dsfsi/anv-whisper-large-v3-turbo-anv-zulOpen7dsfsi/anv-whisper-small-anv-zulu-first-batchOpen8openai/whisper-large-v3Open40openai/whisper-smallOpen26sitwala/whisper-large-anv-sotOpen48sitwala/whisper-large-v3-anv-sotOpen52sitwala/whisper-large-v3-turbo-anv-zul-150hOpen7sitwala/whisper-large-v3-turbo-anv-zul-250hOpen8sitwala/whisper-large-v3-turbo-anv-zul-50hOpen8

What did the model get wrong?

facebook/omniASR-LLM-1BOpen   Example 59 of 100  ·  sample index 58

✅ What was actually said (isiZulu reference)
[um]Singasekelaimpovayomoya[um]ezingadingizethunasemphakathiningokusebenzisaizitshaloezizothatha[um]umoyaomubi,njengezihlahla.Futhi[um]singagwemaukusebenzisaizimotonjalo,siphakamiseuhambangezinyawonomangebhasi
🤖 What this model heard
esingasekelaimpovayomoyaezingadinizethunasemphakathiningokusebenzisaizitshaloezizothathaeumoyaomubinjengezihlahlafuthiesingagwemaukusebenzisaiimotonjalosiphakamiseukuhambangezinyawonomangebhasi
Correct
Wrong (different word)
Missed (skipped)
Extra (added)
19
Correct
6
Wrong
1
Missed
0
Extra
73%
Words right
0.385
WER
0.103
CER
23.18s
Duration
1.4s
Latency