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Reconstructive AI

What is reconstructive AI?

Reconstructive AI focuses on restoring missing or degraded information in data, like recovering clean speech from noisy, distorted recordings. Where generative AI generates content from nothing, reconstructive AI parses acoustic signals to separate out its threads. It removes the threads that aren’t needed, and repairs the ones that are for a fuller sound.

What is an example of reconstructive AI?

A muffled voice memo can be processed by reconstructive AI to restore natural clarity and detail.

How does reconstructive AI work?

It’s trained on pairs of degraded and clean data, learning to predict the missing elements and generate high-quality output.

How does ai-coustics use reconstructive AI?

Reconstructive AI is a key part of our technology, particularly for our Lark model.