I was thinking more that one would use mechanical turk to annotate each soundfile with these tags for the set of all podcasts. Then use that as training data to

I was thinking more that one would use mechanical turk to annotate each soundfile with these tags for the set of all podcasts. Then use that as training data to a ML algorithm that gets used to render the output for each tag. So I'd use my archiveaudio tag from the example and the algo would output the band-limited frequencies of what sounds vaguely like a cop with speech patterns signaling defensiveness and irritation. It would all sound perfectly like a podcast if you were listening to it in a sleep state. Then if you concentrated on it you'd realize there's no coherent plot or even any actual natural language being spoken in the entire recording.