mlsanityData to 7 Oct 2026

Song From PI: A Musically Plausible Network for Pop Music Generation

arXiv 1611.03477 ↗First posted 10 Nov 2016cs.SD cs.AIcited by 13

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Abstract (arXiv)

We present a novel framework for generating pop music. Our model is a hierarchical Recurrent Neural Network, where the layers and the structure of the hierarchy encode our prior knowledge about how pop music is composed. In particular, the bottom layers generate the melody, while the higher levels produce the drums and chords. We conduct several human studies that show strong preference of our generated music over that produced by the recent method by Google. We additionally show two applications of our framework: neural dancing and karaoke, as well as neural story singing.

Key facts. Cited by 13 papers in the map (data through 7 Oct 2026). First posted on arXiv 10 Nov 2016.

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Citing papers per year: 2021: 2; 2022: 4; 2023: 3; 2024: 2; 2025: 1; 2026: 1.

13 papers.

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