DatasetLwaziANV

← All examples Model summary →

Modelfacebook/omniASR-CTC-1BOpen5facebook/omniASR-CTC-300MOpen5facebook/omniASR-CTC-3BOpen6facebook/omniASR-CTC-7BOpen6facebook/omniASR-LLM-1BOpen4facebook/omniASR-LLM-300MOpen4facebook/omniASR-LLM-3BOpen5facebook/omniASR-LLM-7BOpen5aadel4/omniASR-CTC-1B-v2Open9aadel4/omniASR-CTC-300M-v2Open8badrex/w2v-bert-2.0-zulu-asrOpen6dsfsi/anv-whisper-large-v3-turbo-anv-zulOpen6dsfsi/anv-whisper-small-anv-zulu-first-batchOpen7facebook/mms-1b-allOpen8openai/whisper-large-v3Open8openai/whisper-smallOpen9sitwala/whisper-large-anv-sotOpen10sitwala/whisper-large-v3-anv-sotOpen9sitwala/whisper-large-v3-turbo-anv-zul-150hOpen6sitwala/whisper-large-v3-turbo-anv-zul-250hOpen6sitwala/whisper-large-v3-turbo-anv-zul-50hOpen6

What did the model get wrong?

facebook/omniASR-LLM-1BOpen   Example 71 of 100  ·  sample index 70

✅ What was actually said (isiZulu reference)
yikwataye-yo-yi-yi-yikwatayehora,ngaphambikwehora.
🤖 What this model heard
ikwataye-yo-i-ikwatayehorangaphambikwehora
Correct
Wrong (different word)
Missed (skipped)
Extra (added)
5
Correct
3
Wrong
1
Missed
0
Extra
56%
Words right
0.667
WER
0.155
CER
4.45s
Duration
0.4s
Latency