DatasetLwaziANV

← All examples Model summary →

Modelfacebook/omniASR-CTC-1BOpen8facebook/omniASR-CTC-300MOpen7facebook/omniASR-CTC-3BOpen7facebook/omniASR-CTC-7BOpen5facebook/omniASR-LLM-1BOpen4facebook/omniASR-LLM-300MOpen4facebook/omniASR-LLM-3BOpen5facebook/omniASR-LLM-7BOpen1aadel4/omniASR-CTC-1B-v2Open17aadel4/omniASR-CTC-300M-v2Open13badrex/w2v-bert-2.0-zulu-asrOpen8dsfsi/anv-whisper-large-v3-turbo-anv-zulOpen5dsfsi/anv-whisper-small-anv-zulu-first-batchOpen7facebook/mms-1b-allOpen6openai/whisper-large-v3Open13openai/whisper-smallOpen13sitwala/whisper-large-anv-sotOpen17sitwala/whisper-large-v3-anv-sotOpen20sitwala/whisper-large-v3-turbo-anv-zul-150hOpen8sitwala/whisper-large-v3-turbo-anv-zul-250hOpen8sitwala/whisper-large-v3-turbo-anv-zul-50hOpen8

What did the model get wrong?

badrex/w2v-bert-2.0-zulu-asrOpen   Example 80 of 100  ·  sample index 79

✅ What was actually said (isiZulu reference)
phezukweb-kwebandlalesizwesabantwanabakwaNafetali,kwakungu-Ahiraindodanaka-Enani.
🤖 What this model heard
naphezukwebandlalesizwesabantwanabakwanafetalekwakunguahirahindodanakaenani
Correct
Wrong (different word)
Missed (skipped)
Extra (added)
3
Correct
5
Wrong
1
Missed
2
Extra
33%
Words right
0.889
WER
0.180
CER
8.46s
Duration
0.1s
Latency