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October 8, 2025Open Access

ACE-Step: A Step Towards Music Generation Foundation Model

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Authors

JGJianwu GongSZShuo ZhaoSWSen Wang

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Overview

ACE-Step demonstrates superior musical coherence and lyric alignment in music generation, suggesting a new foundation model approach.

Key Points

  • ACE-Step synthesizes up to 4 minutes of music in just 20 seconds on an A100 GPU, achieving a 15x speed improvement over LLM-based models.
  • Integration of diffusion-based generation with a lightweight linear transformer enhances both speed and musical coherence.
  • The novel model preserves fine-grained acoustic details while allowing for advanced control mechanisms like voice cloning and remixing.
  • Establishing a foundation model for music AI aims to support creative workflows for artists, producers, and content creators.

Cite This Study

Gong et al. (2025) studied this question.

synapsesocial.com/papers/68e6bc5f38ca8e474d549e9chttps://doi.org/10.48550/arxiv.2506.00045
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