DatasetLwaziANV

← All examples Model summary →

Modelfacebook/omniASR-CTC-1BOpen11facebook/omniASR-CTC-300MOpen11facebook/omniASR-CTC-3BOpen11facebook/omniASR-CTC-7BOpen9facebook/omniASR-LLM-1BOpen10facebook/omniASR-LLM-300MOpen11facebook/omniASR-LLM-3BOpen10facebook/omniASR-LLM-7BOpen9aadel4/omniASR-CTC-1B-v2Open11aadel4/omniASR-CTC-300M-v2Open11badrex/w2v-bert-2.0-zulu-asrOpen12dsfsi/anv-whisper-large-v3-turbo-anv-zulOpen12dsfsi/anv-whisper-small-anv-zulu-first-batchOpen11facebook/mms-1b-allOpen10openai/whisper-large-v3Open13openai/whisper-smallOpen13sitwala/whisper-large-anv-sotOpen14sitwala/whisper-large-v3-anv-sotOpen13sitwala/whisper-large-v3-turbo-anv-zul-150hOpen12sitwala/whisper-large-v3-turbo-anv-zul-250hOpen12sitwala/whisper-large-v3-turbo-anv-zul-50hOpen13

What did the model get wrong?

facebook/omniASR-CTC-3BOpen   Example 100 of 100  ·  sample index 99

✅ What was actually said (isiZulu reference)
[s][um]ngo-December[um]zingamashumiamabilinanhlanu[n]ngo-nineteen[n]seventy.
🤖 What this model heard
ngodecemberehezingamashumiamabilinganinanhlanungonineteenseventy
Correct
Wrong (different word)
Missed (skipped)
Extra (added)
2
Correct
5
Wrong
6
Missed
0
Extra
15%
Words right
0.900
WER
0.276
CER
5.74s
Duration
0.0s
Latency