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Built speech models for Europe, accidentally topped Open-ASR in English

Built speech models for Europe, accidentally topped Open-ASR in English

by raoulritter·Apr 15, 2026·2 points·0 comments

AI Analysis

●●●BangerWizardryDark Horse

Processes one hour of audio in under three seconds while topping Open ASR Leaderboard.

Strengths
  • 1438x realtime factor crushes competitors like Whisper on raw inference speed.
  • Custom Violin inference engine with fused kernels for specific speech optimization.
  • Leads benchmarks in European languages where Whisper often struggles.
Weaknesses
  • Proprietary model weights, not open source like Whisper, limiting self-hosting options.
  • Training data contamination concerns noted for Librispeech and Voxpopuli.
Category
Target Audience

ML engineers, audio processing devs

Similar To

Whisper · Deepgram · AssemblyAI

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