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About Composing Music With Neural Networks and Probabilistic Finite-State Machines
This document describes two artificial intelligence approaches to music composition: a probabilistic finite-state machine and a time delay neural network. The finite-state machine learns note sequences and probabilities from a database of songs to generate new compositions. The neural network is trained on songs and uses a time delay architecture to generate new songs, but struggles to maintain coherence over long sequences. Experimental results show the finite-state machine produces more coherent multi-instrument songs that share patterns with the original songs.
Detailed Information
| Author: | ['Ioana Grozav'] |
|---|---|
| Publication Year: | 2020 |
| Pages: | 6 |
| Language: | English |
| Format: | |
| Price: | FREE |
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