DatasetLwaziANV

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Modelfacebook/omniASR-CTC-1BOpen5facebook/omniASR-CTC-300MOpen5facebook/omniASR-CTC-3BOpen5facebook/omniASR-CTC-7BOpen5facebook/omniASR-LLM-1BOpen5facebook/omniASR-LLM-300MOpen5facebook/omniASR-LLM-3BOpen5facebook/omniASR-LLM-7BOpen5aadel4/omniASR-CTC-1B-v2Open5aadel4/omniASR-CTC-300M-v2Open6badrex/w2v-bert-2.0-zulu-asrOpen8dsfsi/anv-whisper-large-v3-turbo-anv-zulOpen5dsfsi/anv-whisper-small-anv-zulu-first-batchOpen5facebook/mms-1b-allOpen7openai/whisper-large-v3Open12openai/whisper-smallOpen12sitwala/whisper-large-anv-sotOpen18sitwala/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-v3-anv-sotOpen   Example 13 of 100  ·  sample index 12

✅ What was actually said (isiZulu reference)
yiqanda,yisithupha,kubili,[n]kuthathu,kuthathu,kune,yiqanda,[n]kubili,kune,kunye.
🤖 What this model heard
ekandaesethuphakobilekothathukothathugoneekandakobilegonegonye
Correct
Wrong (different word)
Missed (skipped)
Extra (added)
0
Correct
12
Wrong
0
Missed
10
Extra
0%
Words right
2.200
WER
0.476
CER
12.38s
Duration
0.1s
Latency