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用选择性状态空间模型建模光学压缩器时变响应

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2026年10月7日，arXiv Audio and Speech 类别发布一篇论文，提出用深度神经网络结合 Selective State Space 模型来建模光学动态范围压缩器的时间依赖响应。该方法以 Selective State Space 模块编码输入音频，并融合 Feature-wise Linear Modulation 与 Gated Linear Units，按外部参数动态调节压缩的 attack 与 release 阶段。目前公开信息仅涉及该论文的方法框架，未见实验数据、代码或同行评议结果。

Generated from reports · updated 3 hr ago

LatestOct 7
arXiv 新论文提出以 Selective State Space 模块加 FiLM 与 GLU，按外部参数动态调节光学压缩器的 attack 与 release。

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Oct 7, 2026
  1. arXiv · Audio and Speech
    用 Selective State Space 模型建模光学压缩器的时间依赖响应

    论文提出用深度神经网络结合 Selective State Space 模型建模光学动态范围压缩器，以 Selective State Space 模块编码输入音频，并融合 Feature-wise Linear Modulation 与 Gated Linear Units，按外部参数动态调节压缩的 attack 与 release 阶段。

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