DatasetLwaziANV

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Modelfacebook/omniASR-CTC-1BOpen5facebook/omniASR-CTC-300MOpen6facebook/omniASR-CTC-3BOpen6facebook/omniASR-LLM-1BOpen4facebook/omniASR-LLM-300MOpen3facebook/omniASR-LLM-3BOpen2facebook/omniASR-LLM-7BOpen2dsfsi/anv-whisper-large-v3-turbo-anv-zulOpen0dsfsi/anv-whisper-small-anv-zulu-first-batchOpen4openai/whisper-large-v3Open24openai/whisper-smallOpen25sitwala/whisper-large-anv-sotOpen45sitwala/whisper-large-v3-anv-sotOpen52sitwala/whisper-large-v3-turbo-anv-zul-150hOpen3sitwala/whisper-large-v3-turbo-anv-zul-250hOpen1sitwala/whisper-large-v3-turbo-anv-zul-50hOpen4

What did the model get wrong?

sitwala/whisper-large-anv-sotOpen   Example 48 of 100  ·  sample index 47

✅ What was actually said (isiZulu reference)
Ukuqashaumhlabangaphansikwezimoezivunayokumelekubenzebacabangeokukhulu,hhayinjeukukhulisaamabhizinisiabokodwaukwenzangconoingcebookwabelwanangayokanyenokuchumaemiphakathiniabalimakuyona.
🤖 What this model heard
okakashaomehlabankaphangtsegoezimoezifunalekommelekobensebatsabankokonghaenjeorookholesaamabusinesseabokotwaokwentsangtonoentrebookwabelwanangkaeokanyenokothomaemephakatsheneabalemakoyona
Correct
Wrong (different word)
Missed (skipped)
Extra (added)
1
Correct
24
Wrong
0
Missed
21
Extra
4%
Words right
1.800
WER
0.438
CER
24.57s
Duration
0.3s
Latency