DatasetLwaziANV

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Modelfacebook/omniASR-CTC-1BOpen2facebook/omniASR-CTC-300MOpen5facebook/omniASR-CTC-3BOpen3facebook/omniASR-CTC-7BOpen2facebook/omniASR-LLM-1BOpen4facebook/omniASR-LLM-300MOpen6facebook/omniASR-LLM-3BOpen4facebook/omniASR-LLM-7BOpen6aadel4/omniASR-CTC-1B-v2Open4aadel4/omniASR-CTC-300M-v2Open6badrex/w2v-bert-2.0-zulu-asrOpen5dsfsi/anv-whisper-large-v3-turbo-anv-zulOpen5dsfsi/anv-whisper-small-anv-zulu-first-batchOpen5facebook/mms-1b-allOpen5openai/whisper-large-v3Open18openai/whisper-smallOpen11sitwala/whisper-large-anv-sotOpen23sitwala/whisper-large-v3-anv-sotOpen22sitwala/whisper-large-v3-turbo-anv-zul-150hOpen5sitwala/whisper-large-v3-turbo-anv-zul-250hOpen5sitwala/whisper-large-v3-turbo-anv-zul-50hOpen5

What did the model get wrong?

sitwala/whisper-large-anv-sotOpen   Example 19 of 100  ·  sample index 18

✅ What was actually said (isiZulu reference)
kwaMerarikwavelaumndeniwabawamaHa-wamaMahelinomndeniwamaMushi,yileyoeyimindeniyamaMerari.
🤖 What this model heard
kwamerarekwavelaomdenewabawamahalawamahelenomdenewamafumohileoeemdeneyamamerare
Correct
Wrong (different word)
Missed (skipped)
Extra (added)
0
Correct
11
Wrong
0
Missed
12
Extra
0%
Words right
2.091
WER
0.374
CER
13.23s
Duration
0.1s
Latency