DatasetLwaziANV

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Modelfacebook/omniASR-CTC-1BOpen8facebook/omniASR-CTC-300MOpen9facebook/omniASR-CTC-3BOpen8facebook/omniASR-LLM-1BOpen8facebook/omniASR-LLM-300MOpen10facebook/omniASR-LLM-3BOpen7facebook/omniASR-LLM-7BOpen6dsfsi/anv-whisper-large-v3-turbo-anv-zulOpen5dsfsi/anv-whisper-small-anv-zulu-first-batchOpen6openai/whisper-large-v3Open38openai/whisper-smallOpen30sitwala/whisper-large-anv-sotOpen53sitwala/whisper-large-v3-anv-sotOpen59sitwala/whisper-large-v3-turbo-anv-zul-150hOpen8sitwala/whisper-large-v3-turbo-anv-zul-250hOpen6sitwala/whisper-large-v3-turbo-anv-zul-50hOpen6

What did the model get wrong?

sitwala/whisper-large-v3-turbo-anv-zul-250hOpen   Example 90 of 100  ·  sample index 89

✅ What was actually said (isiZulu reference)
[um]Ngizophakamisaukuthi[um]kudalweisikhungo[um]sezemidlaloesinendawoyokudlala[um]imitholampilonensizayokufunda.[um]Ngizokhulumanabantuukuzengiqondeizidingozabo,ngibenezingxoxofuthinabantuabashaukuzengithumeleimiqondoyabo
🤖 What this model heard
ngizophakamisaukuthikudalweisikhungosezemidlaloesinenndawoyokudlalaimitholampilonensizayokufundangizokhulumanabantuukuzengiqondeizidingozabongibenezingxoxofuthinabantuabashaukuzengithumeleimiqondoyabo
Correct
Wrong (different word)
Missed (skipped)
Extra (added)
24
Correct
1
Wrong
5
Missed
0
Extra
80%
Words right
0.267
WER
0.112
CER
23.65s
Duration
0.1s
Latency