DatasetLwaziANV

← All examples Model summary →

Modelfacebook/omniASR-CTC-1BOpen6facebook/omniASR-CTC-300MOpen7facebook/omniASR-CTC-3BOpen6facebook/omniASR-CTC-7BOpen6facebook/omniASR-LLM-1BOpen6facebook/omniASR-LLM-300MOpen6facebook/omniASR-LLM-3BOpen4facebook/omniASR-LLM-7BOpen4aadel4/omniASR-CTC-1B-v2Open7aadel4/omniASR-CTC-300M-v2Open7badrex/w2v-bert-2.0-zulu-asrOpen7dsfsi/anv-whisper-large-v3-turbo-anv-zulOpen7dsfsi/anv-whisper-small-anv-zulu-first-batchOpen9facebook/mms-1b-allOpen7openai/whisper-large-v3Open9openai/whisper-smallOpen11sitwala/whisper-large-anv-sotOpen8sitwala/whisper-large-v3-anv-sotOpen9sitwala/whisper-large-v3-turbo-anv-zul-150hOpen7sitwala/whisper-large-v3-turbo-anv-zul-250hOpen6sitwala/whisper-large-v3-turbo-anv-zul-50hOpen6

What did the model get wrong?

facebook/mms-1b-allOpen   Example 20 of 100  ·  sample index 19

✅ What was actually said (isiZulu reference)
basukaoHag-oHagihagi-,bamisaeJolda-e-e-eJolbakha.
🤖 What this model heard
basukaohagihadibamisaejolbaker
Correct
Wrong (different word)
Missed (skipped)
Extra (added)
2
Correct
3
Wrong
4
Missed
0
Extra
22%
Words right
0.778
WER
0.474
CER
6.57s
Duration
0.0s
Latency