DatasetLwaziANV

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Modelfacebook/omniASR-CTC-1BOpen25facebook/omniASR-CTC-300MOpen26facebook/omniASR-CTC-3BOpen20facebook/omniASR-LLM-1BOpen21facebook/omniASR-LLM-300MOpen25facebook/omniASR-LLM-3BOpen17facebook/omniASR-LLM-7BOpen21dsfsi/anv-whisper-large-v3-turbo-anv-zulOpen32dsfsi/anv-whisper-small-anv-zulu-first-batchOpen30openai/whisper-large-v3Open57openai/whisper-smallOpen58sitwala/whisper-large-anv-sotOpen63sitwala/whisper-large-v3-anv-sotOpen71sitwala/whisper-large-v3-turbo-anv-zul-150hOpen32sitwala/whisper-large-v3-turbo-anv-zul-250hOpen33sitwala/whisper-large-v3-turbo-anv-zul-50hOpen118

What did the model get wrong?

openai/whisper-smallOpen   Example 65 of 100  ·  sample index 64

✅ What was actually said (isiZulu reference)
[um]Umkhosiwomhlanganomai-reeddance,[um]umkhosiobalulekekakhulukubantubesiZulu,[um]ubanjalongonyaka.Kulomkhosi[um]iy'ntombiey'ncanezithwalaizihlahla[um]zomhlangaukuzezikhombiseubuhlebazo,lokhukubalulekileukuzekuhlonishwe[um]ubudlelwano.[um]Umkhosifuthiusizaukugcinausiko,ukuhloniphaizinyanya,futhi[um]uqinisaubuhlobophakathikwemindeni.[um]Ubuyeubeithubalokuhlanganakwemiphakathilaphoabantubazijabulisakhona.
🤖 What this model heard
ន្្្្្្្្្្្្្្្្្្្្្្្្្្្្្្្្្្្្្្្្្្្្្្្្្្្្្្្្្្្្្្្្្្្្្្្្្្្្្្្្្្្្្្្្្្្្្្្្្្្្្្្្្្្្្្្្្្្្្្្្្្្្្្្្្្្្្្្្្្្្្្្្្្្
Correct
Wrong (different word)
Missed (skipped)
Extra (added)
0
Correct
1
Wrong
57
Missed
0
Extra
0%
Words right
1.000
WER
1.000
CER
39.93s
Duration
0.3s
Latency