Features:

  • Beat Detection

  • Onset Detection

  • Core Time Domain Features

  • Core Frequency Domain Features

  • No static libraries and external dependencies

  • Cross-platform compatibility (Windows, Mac, Linux, Android, iOS, etc)

特征:

  • 节拍检测

  • 发病检测

  • 核心时域特征

  • 核心频域特性

  • 没有静态库和外部依赖

  • 跨平台兼容性(Windows,Mac,Linux,Android,iOS等)

⚠️ Warning!

The RuntimeAudioImporter plugin is already pre-installed here, so before installing the AudioAnalysisTools plugin, please remove the RuntimeAudioImporter plugin.

🎮 Enhance your game with advanced real-time audio analysis

Powered by Fast Fourier Transform (FFT) technology, this plugin transforms any audio input into actionable data for rhythm games, music visualization, or interactive audio experiences. Gain instant access to comprehensive audio analysis features, including beat detection, frequency analysis, and onset detection – all optimized for runtime performance.

Quick Links:

🎥 See It in Action!

Check out one of many examples of the plugin in use: YouTube Video

Key features:

🔊 Beat Detection Suite:
  • Detect beats, kicks, snares, and hi-hats

  • Customizable FFT sub-bands and energy history

  • Precise beat range detection

📊 Advanced Audio Metrics:

– Spectral analysis (centroid, flatness, crest)

– Time domain features (RMS, peak energy)

– Onset detection algorithms

🛠️ Developer Friendly:
  • Cross-platform runtime support across all UE platforms

  • Complete Blueprint and C++ runtime API coverage

  • Seamless integration with Runtime Audio Importer

  • Flexible audio input support

🎮 Perfect for:
  • Rhythm games

  • Music visualization

  • Interactive audio experiences

  • Sound-reactive gameplay elements

⚠️ 警告!

TRuntimeAudioImporter 插件已经预先安装在这里,所以在安装 [医]音响效果 插件,请删除 RuntimeAudioImporter 插件。

🎮 通过高级实时音频分析增强您的游戏

由…… 快速傅立叶变换(FFT) 技术,这个插件将任何音频输入转换为可操作的数据 节奏游戏, 音乐可视化,或 互动音频体验. 即时访问全面的音频分析功能,包括 节拍检测, 频率分析,而 发病检测 -所有针对运行时性能进行了优化。

快速链接:

🎥 看到它的行动!

查看正在使用的插件的许多示例之一: YouTube视频

主要特点:

▪节拍检测套件:
  • 检测/检测 节拍, 踢腿, 圈套,而 高帽

  • 可定制的FFT子带能源历史

  • 精确的节拍范围检测

▪高级音频指标:

-光谱分析(质心,平坦度,波峰)

-时域特征(RMS,峰值能量)

-发病检测算法

️️开发人员友好:
  • 跨所有UE平台的跨平台运行时支持

  • 完成 蓝图C++运行时API复盖

  • 运行时音频导入器

  • 灵活的音频输入支持

完美的:
  • 节奏游戏

  • 音乐可视化

  • 互动音频体验

  • 声音反应游戏元素

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