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Posted on • Originally published at paperium.net

Empirical Evaluation of Gated Recurrent Neural Networks on Sequence Modeling

New look: computer memory parts make machines hear music and speech better

Researchers compared different inside bits that help computers remember steps in a song or a sentence, and found clear differences.
Some older, simple bits struggled, while newer, smarter parts handled patterns in sound with more ease, and that surprised some people.
Tests used both complex music with many notes at once and real human speech, to see which parts learned the flow best.
The results showed that models with the fresh smart parts kept track of time and tune much better than the plain, old style parts, so they predict what comes next more smoothly, but not always perfect.
One newer design turned out to be almost as good, or comparable, to the well known advanced design, which was neat to see.
This means tools that listen or write sound might get small, useful boosts from changing just the memory bit inside.
It opens new, simple ways to improve things that work with sound, and more tests will tell where this helps most, fast or slow, at home or on phone.

Read article comprehensive review in Paperium.net:
Empirical Evaluation of Gated Recurrent Neural Networks on Sequence Modeling

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