DatasetLwaziANV

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Modelfacebook/omniASR-CTC-1BOpen7facebook/omniASR-CTC-300MOpen9facebook/omniASR-CTC-3BOpen7facebook/omniASR-CTC-7BOpen5facebook/omniASR-LLM-1BOpen4facebook/omniASR-LLM-300MOpen4facebook/omniASR-LLM-3BOpen4facebook/omniASR-LLM-7BOpen2aadel4/omniASR-CTC-1B-v2Open15aadel4/omniASR-CTC-300M-v2Open7badrex/w2v-bert-2.0-zulu-asrOpen6dsfsi/anv-whisper-large-v3-turbo-anv-zulOpen5dsfsi/anv-whisper-small-anv-zulu-first-batchOpen8facebook/mms-1b-allOpen8openai/whisper-large-v3Open14openai/whisper-smallOpen11sitwala/whisper-large-anv-sotOpen19sitwala/whisper-large-v3-anv-sotOpen18sitwala/whisper-large-v3-turbo-anv-zul-150hOpen6sitwala/whisper-large-v3-turbo-anv-zul-250hOpen5sitwala/whisper-large-v3-turbo-anv-zul-50hOpen6

What did the model get wrong?

badrex/w2v-bert-2.0-zulu-asrOpen   Example 83 of 100  ·  sample index 82

✅ What was actually said (isiZulu reference)
kwaMerarikwavelaumndeniwa-[n]wamaHeli,nomndeni,wamaMushiyileyo,eyimindeniyamaMerari.
🤖 What this model heard
kwamirarikwavelaumndenikwamahelinomndeniwama-mushiyileloeyimindeniyamamirari
Correct
Wrong (different word)
Missed (skipped)
Extra (added)
5
Correct
4
Wrong
2
Missed
0
Extra
45%
Words right
0.700
WER
0.133
CER
10.02s
Duration
0.1s
Latency