DatasetLwaziANV

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Modelfacebook/omniASR-CTC-1BOpen5facebook/omniASR-CTC-300MOpen8facebook/omniASR-CTC-3BOpen14facebook/omniASR-CTC-7BOpen14facebook/omniASR-LLM-1BOpen4facebook/omniASR-LLM-300MOpen4facebook/omniASR-LLM-3BOpen5facebook/omniASR-LLM-7BOpen4aadel4/omniASR-CTC-1B-v2Open14aadel4/omniASR-CTC-300M-v2Open7badrex/w2v-bert-2.0-zulu-asrOpen13dsfsi/anv-whisper-large-v3-turbo-anv-zulOpen4dsfsi/anv-whisper-small-anv-zulu-first-batchOpen14facebook/mms-1b-allOpen11openai/whisper-large-v3Open14openai/whisper-smallOpen14sitwala/whisper-large-anv-sotOpen6sitwala/whisper-large-v3-anv-sotOpen8sitwala/whisper-large-v3-turbo-anv-zul-150hOpen14sitwala/whisper-large-v3-turbo-anv-zul-250hOpen4sitwala/whisper-large-v3-turbo-anv-zul-50hOpen4

What did the model get wrong?

sitwala/whisper-large-anv-sotOpen   Example 11 of 100  ·  sample index 10

✅ What was actually said (isiZulu reference)
[n]Y,A,S,H,O,N,A,[n]P,[n]H[n]I.
🤖 What this model heard
yashonaphi
Correct
Wrong (different word)
Missed (skipped)
Extra (added)
8
Correct
1
Wrong
5
Missed
0
Extra
57%
Words right
1.000
WER
0.357
CER
12.77s
Duration
0.1s
Latency