DatasetLwaziANV

← All examples Model summary →

Modelfacebook/omniASR-CTC-1BOpen10facebook/omniASR-CTC-300MOpen8facebook/omniASR-CTC-3BOpen8facebook/omniASR-LLM-1BOpen7facebook/omniASR-LLM-300MOpen9facebook/omniASR-LLM-3BOpen7facebook/omniASR-LLM-7BOpen7dsfsi/anv-whisper-large-v3-turbo-anv-zulOpen7dsfsi/anv-whisper-small-anv-zulu-first-batchOpen8openai/whisper-large-v3Open40openai/whisper-smallOpen26sitwala/whisper-large-anv-sotOpen48sitwala/whisper-large-v3-anv-sotOpen52sitwala/whisper-large-v3-turbo-anv-zul-150hOpen7sitwala/whisper-large-v3-turbo-anv-zul-250hOpen8sitwala/whisper-large-v3-turbo-anv-zul-50hOpen8

What did the model get wrong?

facebook/omniASR-LLM-300MOpen   Example 59 of 100  ·  sample index 58

✅ What was actually said (isiZulu reference)
[um]Singasekelaimpovayomoya[um]ezingadingizethunasemphakathiningokusebenzisaizitshaloezizothatha[um]umoyaomubi,njengezihlahla.Futhi[um]singagwemaukusebenzisaizimotonjalo,siphakamiseuhambangezinyawonomangebhasi
🤖 What this model heard
esingasekelaimpovayomoyaezingadinizethunasemphakathiningokusebenzisaizitshaloezizothathaumoyaomobinjengezihlahlafuthisingagwemaukusebenzisaimotonjalosiphakamiseukuhambangezinyawonomangebhasi
Correct
Wrong (different word)
Missed (skipped)
Extra (added)
17
Correct
5
Wrong
4
Missed
0
Extra
65%
Words right
0.423
WER
0.124
CER
23.18s
Duration
2.6s
Latency