DatasetLwaziANV

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Modelfacebook/omniASR-CTC-1BOpen6facebook/omniASR-CTC-300MOpen10facebook/omniASR-CTC-3BOpen8facebook/omniASR-CTC-7BOpen6facebook/omniASR-LLM-1BOpen7facebook/omniASR-LLM-300MOpen8facebook/omniASR-LLM-3BOpen7facebook/omniASR-LLM-7BOpen7aadel4/omniASR-CTC-1B-v2Open8aadel4/omniASR-CTC-300M-v2Open10badrex/w2v-bert-2.0-zulu-asrOpen8dsfsi/anv-whisper-large-v3-turbo-anv-zulOpen8dsfsi/anv-whisper-small-anv-zulu-first-batchOpen8facebook/mms-1b-allOpen9openai/whisper-large-v3Open12openai/whisper-smallOpen20sitwala/whisper-large-anv-sotOpen18sitwala/whisper-large-v3-anv-sotOpen18sitwala/whisper-large-v3-turbo-anv-zul-150hOpen6sitwala/whisper-large-v3-turbo-anv-zul-250hOpen6sitwala/whisper-large-v3-turbo-anv-zul-50hOpen7

What did the model get wrong?

openai/whisper-smallOpen   Example 24 of 100  ·  sample index 23

✅ What was actually said (isiZulu reference)
[n]nomake,zizining-izindlela,kazyikuya-kufananempumelelw-naseempumelelweniyokufezaizinjongo.
🤖 What this model heard
nōmaghezimiñizinlele,tāziguyāgufananenpumelelu,nāsenpumelelueniyokufezaizinjōng.
Correct
Wrong (different word)
Missed (skipped)
Extra (added)
0
Correct
12
Wrong
0
Missed
8
Extra
0%
Words right
1.818
WER
0.374
CER
10.77s
Duration
0.3s
Latency