DatasetLwaziANV

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Modelfacebook/omniASR-CTC-1BOpen4facebook/omniASR-CTC-300MOpen2facebook/omniASR-CTC-3BOpen2facebook/omniASR-LLM-1BOpen2facebook/omniASR-LLM-300MOpen2facebook/omniASR-LLM-3BOpen1facebook/omniASR-LLM-7BOpen0dsfsi/anv-whisper-large-v3-turbo-anv-zulOpen0dsfsi/anv-whisper-small-anv-zulu-first-batchOpen0openai/whisper-large-v3Open13openai/whisper-smallOpen12sitwala/whisper-large-anv-sotOpen24sitwala/whisper-large-v3-anv-sotOpen26sitwala/whisper-large-v3-turbo-anv-zul-150hOpen0sitwala/whisper-large-v3-turbo-anv-zul-250hOpen1sitwala/whisper-large-v3-turbo-anv-zul-50hOpen1

What did the model get wrong?

openai/whisper-smallOpen   Example 33 of 100  ·  sample index 32

✅ What was actually said (isiZulu reference)
Isizathuukuthibabefunaukugxilakakhuluezinhlelwenizesikhathisokuqalangenxayokunciphakwemaketheyezikhangiso.
🤖 What this model heard
ḍḍḍḍḍḍḍḍḍḍḍḍḍḍḍḍḍḍḍḍḍḍḍḍḍḍḍḍḍḍḍḍḍḍḍḍḍḍḍḍḍḍḍḍḍḍḍḍḍḍḍḍḍḍḍḍḍḍḍḍḍḍḍḍḍḍḍḍḍḍḍḍḍḍḍḍḍḍḍḍḍḍḍḍḍḍḍḍḍḍḍḍḍḍḍḍḍḍḍḍḍḍḍḍḍḍḍḍḍḍḍḍḍḍḍḍḍḍḍḍḍḍḍḍḍḍḍḍḍḍḍḍḍḍḍḍḍḍḍḍḍḍḍḍḍḍḍḍ
Correct
Wrong (different word)
Missed (skipped)
Extra (added)
0
Correct
1
Wrong
11
Missed
0
Extra
0%
Words right
1.000
WER
1.265
CER
13.72s
Duration
0.3s
Latency