DatasetLwaziANV

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Modelfacebook/omniASR-CTC-1BOpen0facebook/omniASR-CTC-300MOpen3facebook/omniASR-CTC-3BOpen1facebook/omniASR-CTC-7BOpen0facebook/omniASR-LLM-1BOpen1facebook/omniASR-LLM-300MOpen0facebook/omniASR-LLM-3BOpen2facebook/omniASR-LLM-7BOpen0aadel4/omniASR-CTC-1B-v2Open1aadel4/omniASR-CTC-300M-v2Open2badrex/w2v-bert-2.0-zulu-asrOpen1dsfsi/anv-whisper-large-v3-turbo-anv-zulOpen1dsfsi/anv-whisper-small-anv-zulu-first-batchOpen3facebook/mms-1b-allOpen4openai/whisper-large-v3Open9openai/whisper-smallOpen9sitwala/whisper-large-anv-sotOpen14sitwala/whisper-large-v3-anv-sotOpen16sitwala/whisper-large-v3-turbo-anv-zul-150hOpen1sitwala/whisper-large-v3-turbo-anv-zul-250hOpen1sitwala/whisper-large-v3-turbo-anv-zul-50hOpen2

What did the model get wrong?

aadel4/omniASR-CTC-300M-v2Open   Example 47 of 100  ·  sample index 46

✅ What was actually said (isiZulu reference)
incwadiibhalwangolimioluxoxekayookushoukuthi,yindabaexo-exoxwayo.
🤖 What this model heard
incwadiibhalwangolimioluxoxekayookusheukuthiyindabaexoxwayo
Correct
Wrong (different word)
Missed (skipped)
Extra (added)
7
Correct
1
Wrong
1
Missed
0
Extra
78%
Words right
0.444
WER
0.110
CER
7.80s
Duration
0.0s
Latency