DatasetLwaziANV

← All examples Model summary →

Modelfacebook/omniASR-CTC-1BOpen11facebook/omniASR-CTC-300MOpen10facebook/omniASR-CTC-3BOpen12facebook/omniASR-LLM-1BOpen9facebook/omniASR-LLM-300MOpen13facebook/omniASR-LLM-3BOpen10facebook/omniASR-LLM-7BOpen8dsfsi/anv-whisper-large-v3-turbo-anv-zulOpen8dsfsi/anv-whisper-small-anv-zulu-first-batchOpen10openai/whisper-large-v3Open31openai/whisper-smallOpen148sitwala/whisper-large-anv-sotOpen45sitwala/whisper-large-v3-anv-sotOpen53sitwala/whisper-large-v3-turbo-anv-zul-150hOpen6sitwala/whisper-large-v3-turbo-anv-zul-250hOpen6sitwala/whisper-large-v3-turbo-anv-zul-50hOpen12

What did the model get wrong?

openai/whisper-smallOpen   Example 31 of 100  ·  sample index 30

✅ What was actually said (isiZulu reference)
Uqaleumsebenziwakhenjengomlingisiwamahlaya,enendimakumafilimuafaka"iTheHouseBunny"ne-"All'sFaireinLove",nakuma-sitcom"wethelevishiniuSullivanandSon.N"gemuvakokulandelaumsebenziwakheekulingiseniwabangusomahlayaozimele.
🤖 What this model heard
ḍḍḍḍḍḍḍḍḍḍḍḍḍḍḍḍḍḍḍḍḍḍḍḍḍḍḍḍḍḍḍḍḍḍḍḍḍḍḍḍḍḍḍḍḍḍḍḍḍḍḍḍḍḍḍḍḍḍḍḍḍḍḍḍḍḍḍḍḍḍḍḍḍḍḍḍḍḍḍḍḍḍḍḍḍḍḍḍḍḍḍḍḍḍḍḍḍḍḍḍḍḍḍḍḍḍḍḍḍḍḍḍḍḍḍḍḍḍḍḍḍḍḍḍḍḍḍḍḍḍḍḍḍḍḍḍḍḍḍḍḍḍḍḍḍḍḍḍ
Correct
Wrong (different word)
Missed (skipped)
Extra (added)
0
Correct
30
Wrong
0
Missed
118
Extra
0%
Words right
4.933
WER
1.081
CER
25.28s
Duration
0.3s
Latency