DatasetLwaziANV

← All examples Model summary →

Modelfacebook/omniASR-CTC-1BOpen9facebook/omniASR-CTC-300MOpen5facebook/omniASR-CTC-3BOpen9facebook/omniASR-CTC-7BOpen9facebook/omniASR-LLM-1BOpen2facebook/omniASR-LLM-300MOpen3facebook/omniASR-LLM-3BOpen4facebook/omniASR-LLM-7BOpen4aadel4/omniASR-CTC-1B-v2Open4aadel4/omniASR-CTC-300M-v2Open5badrex/w2v-bert-2.0-zulu-asrOpen9dsfsi/anv-whisper-large-v3-turbo-anv-zulOpen9dsfsi/anv-whisper-small-anv-zulu-first-batchOpen9facebook/mms-1b-allOpen6openai/whisper-large-v3Open9openai/whisper-smallOpen8sitwala/whisper-large-anv-sotOpen9sitwala/whisper-large-v3-anv-sotOpen9sitwala/whisper-large-v3-turbo-anv-zul-150hOpen9sitwala/whisper-large-v3-turbo-anv-zul-250hOpen9sitwala/whisper-large-v3-turbo-anv-zul-50hOpen9

What did the model get wrong?

dsfsi/anv-whisper-small-anv-zulu-first-batchOpen   Example 38 of 100  ·  sample index 37

✅ What was actually said (isiZulu reference)
[s]nineteenfiftyeight,[n]ohthree,ohfour.
🤖 What this model heard
19580304
Correct
Wrong (different word)
Missed (skipped)
Extra (added)
0
Correct
2
Wrong
7
Missed
0
Extra
0%
Words right
1.000
WER
0.975
CER
3.48s
Duration
0.1s
Latency