DatasetLwaziANV

← All examples Model summary →

Modelfacebook/omniASR-CTC-1BOpen1facebook/omniASR-CTC-300MOpen1facebook/omniASR-CTC-3BOpen2facebook/omniASR-CTC-7BOpen1facebook/omniASR-LLM-1BOpen1facebook/omniASR-LLM-300MOpen1facebook/omniASR-LLM-3BOpen1facebook/omniASR-LLM-7BOpen2aadel4/omniASR-CTC-1B-v2Open1aadel4/omniASR-CTC-300M-v2Open1badrex/w2v-bert-2.0-zulu-asrOpen1dsfsi/anv-whisper-large-v3-turbo-anv-zulOpen1dsfsi/anv-whisper-small-anv-zulu-first-batchOpen1facebook/mms-1b-allOpen1openai/whisper-large-v3Open1openai/whisper-smallOpen1sitwala/whisper-large-anv-sotOpen1sitwala/whisper-large-v3-anv-sotOpen1sitwala/whisper-large-v3-turbo-anv-zul-150hOpen3sitwala/whisper-large-v3-turbo-anv-zul-250hOpen1sitwala/whisper-large-v3-turbo-anv-zul-50hOpen2

What did the model get wrong?

sitwala/whisper-large-v3-turbo-anv-zul-50hOpen   Example 70 of 100  ·  sample index 69

✅ What was actually said (isiZulu reference)
Malahlen-.
🤖 What this model heard
malaslini
Correct
Wrong (different word)
Missed (skipped)
Extra (added)
0
Correct
1
Wrong
0
Missed
1
Extra
0%
Words right
2.000
WER
0.500
CER
1.32s
Duration
0.0s
Latency