Audio Post-Processing for AI Podcast Pipelines
The front end of an AI podcast pipeline gets all the attention — agents, prompts, retrieval. But the stage nobody films a documentary about is audio post-processing, and it's where the actual craft lives. This episode walks through four specific edits: silence truncation, loudness normalization, EQ, and speed normalization without pitch distortion. Along the way, we dig into why SoX and FFmpeg split the work, why a single wrong integer in FFmpeg's silenceremove filter can silently delete 90% of your episode, and why the order of operations between silence removal and loudnorm isn't a style…
The skinny
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