Unnamed project
An idea for signal analysis to drive a desired signal-driven action, centered on grouping, categorizing, and stratifying signals into useful buckets that drive actions. The author points out that blind source separation has drawbacks: it keeps guessing at sources and labeling them as brand new instead of retaining a memory of previously identified sources, unlike humans, who can distinguish pianos from drums and remember the distinction across songs.
What it addresses
Blind source separation continuously guesses at sources and labels them as brand new instead of having a memory of previously identified sources.
Shared over time
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Unnamed project
An idea for signal analysis to drive a desired signal-driven action, centered on grouping, categorizing, and stratifying signals into useful buckets that drive actions. The author points out that blind source separation has drawbacks: it keeps guessing at sources and labeling them as brand new instead of retaining a memory of previously identified sources, unlike humans, who can distinguish pianos from drums and remember the distinction across songs.
Problem: Blind source separation continuously guesses at sources and labels them as brand new instead of having a memory of previously identified sources.
Posted by @gabinator · Builder identity supported: @gabinator · Original comment ↗