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Why Noise Reduction Can Ruin Transcription Accuracy
Most developers assume cleaner audio means better transcription — but the research shows the opposite. This episode explores the noise reduction paradox: why modern ASR models actually perform worse on denoised audio, and how to build a pipeline that serves both transcription accuracy and podcast-quality output. We break down the algorithm landscape from heavyweight machine learning to ultra-lightweight DSP hybrids, explain why babble noise and Irish accents create special challenges, and lay out a two-path architecture that optimizes for each use case separately. If you're building a voice…
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