DatasetLwaziANV

← All examples Model summary →

Modelfacebook/omniASR-CTC-1BOpen9facebook/omniASR-CTC-300MOpen13facebook/omniASR-CTC-3BOpen6facebook/omniASR-LLM-1BOpen5facebook/omniASR-LLM-300MOpen6facebook/omniASR-LLM-3BOpen4facebook/omniASR-LLM-7BOpen4dsfsi/anv-whisper-large-v3-turbo-anv-zulOpen4dsfsi/anv-whisper-small-anv-zulu-first-batchOpen5openai/whisper-large-v3Open26openai/whisper-smallOpen31sitwala/whisper-large-anv-sotOpen51sitwala/whisper-large-v3-anv-sotOpen54sitwala/whisper-large-v3-turbo-anv-zul-150hOpen4sitwala/whisper-large-v3-turbo-anv-zul-250hOpen5sitwala/whisper-large-v3-turbo-anv-zul-50hOpen11

What did the model get wrong?

openai/whisper-large-v3Open   Example 70 of 100  ·  sample index 69

✅ What was actually said (isiZulu reference)
[um]Ukubanolwazingezingalenzalokubalulekileumauthengaimoto.Izingalenzaloeliphakeme[um]lingakhuphulaizindlekozokukhokha.Uma[?]izingalenzalolishintshakungabanomthelelaomkhuluekuthengeni[um]nasekutholeniisikhwamasemali.
🤖 What this model heard
Ukubanulwazingezingalenzalokubalegiiloumautengimodu.Izingalenzaloilipagemelingakupulaizindleguzuko.Umaizizingalenzalolishinjakungabanumtelelaomkuluetengeninasektoleniiskwamasimali.
Correct
Wrong (different word)
Missed (skipped)
Extra (added)
3
Correct
23
Wrong
3
Missed
0
Extra
10%
Words right
0.897
WER
0.275
CER
23.95s
Duration
1.1s
Latency