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Open-Source Speech Recognition Revolution: Inside OLMoASR’s Architecture, Data, and Performance Core Question: How does OLMoASR provide a transparent alternative to closed-source ASR systems? OLMoASR delivers a fully open-source speech recognition solution by releasing model weights, training data identifiers, filtering methodologies, and evaluation scripts – addressing the “black box” limitations of commercial ASR APIs like Whisper. This comprehensive approach enables researchers to verify claims, adapt models, and advance speech recognition science. Model Architecture and Scaling Strategy Core Question: What technical design choices enable OLMoASR’s flexibility? OLMoASR employs a transformer encoder-decoder architecture that processes audio inputs into text outputs through these core …