DatasetLwaziANV

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Modelfacebook/omniASR-CTC-1BOpen3facebook/omniASR-CTC-300MOpen4facebook/omniASR-CTC-3BOpen4facebook/omniASR-CTC-7BOpen3facebook/omniASR-LLM-1BOpen2facebook/omniASR-LLM-300MOpen3facebook/omniASR-LLM-3BOpen3facebook/omniASR-LLM-7BOpen5aadel4/omniASR-CTC-1B-v2Open3aadel4/omniASR-CTC-300M-v2Open6badrex/w2v-bert-2.0-zulu-asrOpen6dsfsi/anv-whisper-large-v3-turbo-anv-zulOpen4dsfsi/anv-whisper-small-anv-zulu-first-batchOpen4facebook/mms-1b-allOpen5openai/whisper-large-v3Open6openai/whisper-smallOpen6sitwala/whisper-large-anv-sotOpen6sitwala/whisper-large-v3-anv-sotOpen6sitwala/whisper-large-v3-turbo-anv-zul-150hOpen4sitwala/whisper-large-v3-turbo-anv-zul-250hOpen6sitwala/whisper-large-v3-turbo-anv-zul-50hOpen5

What did the model get wrong?

sitwala/whisper-large-v3-turbo-anv-zul-250hOpen   Example 8 of 100  ·  sample index 7

✅ What was actually said (isiZulu reference)
[n]ngazalwango-nineteensixtythree.
🤖 What this model heard
ngazalwangu1963
Correct
Wrong (different word)
Missed (skipped)
Extra (added)
0
Correct
2
Wrong
4
Missed
0
Extra
0%
Words right
1.000
WER
0.686
CER
2.79s
Duration
0.1s
Latency