SOV-Transcribe-1's 2.3% word error rate puts it 0.5 points ahead of the next open weights models, @MistralAI's Voxtral Small and @nvidia 's Nemotron 3.5 Transcribe, both at 2.8%
Artificial Analysis ranks SOV-Transcribe-1 top of open-weights speech models
AIArtificial Analysis reports that SOV-Transcribe-1 has a 2.3% word error rate, 0.5 points ahead of the next open-weights models, Mistral's Voxtral Small and Nvidia's Nemotron 3.5 Transcribe, both at 2.8%.
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Artificial Analysis · x.comPublished
Original title: SOV-Transcribe-1's 2.3% word error rate puts it 0.5 points ahead of the next open weights models, @MistralAI's Voxtral Small and @nvidia ...