SqueezeComposer: Temporal Speed-up is A Simple Trick for Long-form Music Composing
Jianyi Chen, Rongxiu Zhong, Shilei Zhang, Kun Qian, Jinglei Liu, Yike Guo, Wei Xue

TL;DR
SqueezeComposer introduces a simple temporal speed-up technique that allows existing music generation models to efficiently produce long-form music by generating at higher speeds and then restoring the original tempo.
Contribution
The paper presents a novel hierarchical generation approach using speed-up and slow-down strategies to enable long-form music synthesis with existing models.
Findings
Enables scalable long-form music generation.
Improves temporal control in music synthesis.
Achieves high-quality results with reduced computational resources.
Abstract
Composing coherent long-form music remains a significant challenge due to the complexity of modeling long-range dependencies and the prohibitive memory and computational requirements associated with lengthy audio representations. In this work, we propose a simple yet powerful trick: we assume that AI models can understand and generate time-accelerated (speeded-up) audio at rates such as 2x, 4x, or even 8x. By first generating a high-speed version of the music, we greatly reduce the temporal length and resource requirements, making it feasible to handle long-form music that would otherwise exceed memory or computational limits. The generated audio is then restored to its original speed, recovering the full temporal structure. This temporal speed-up and slow-down strategy naturally follows the principle of hierarchical generation from abstract to detailed content, and can be conveniently…
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Taxonomy
TopicsMusic Technology and Sound Studies · Music and Audio Processing · Artificial Intelligence in Games
