audioFlux

一个用于音频和音乐分析、特征提取的库，支持多种时频分析变换方法和特征组合，适用于深度学习训练和音频领域研究。

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推荐项目- 项目地址：- 类别：C、Python- 项目标题：A library for audio and music analysis, feature extraction.- 项目描述：一个用于音频和音乐分析、特征提取的库，支持数十种时频分析变换方法，以及相应时域、频域数百种特征组合，可以提供给深度学习网络进行训练，用于研究音频领域的分类、分离、音乐信息检索(MIR)、ASR等各种任务。- 亮点：> 1. 系统、多维度的提取特征和组合，可以灵活的用于各种任务研究分析。> 2. 性能高效，核心大部分C实现，基于不同平台FFT硬件加速，方便大规模数据特征提取。> 3. 适用移动端，支持移动端音频流实时计算。- 代码示例 - 示例代码： - 后续更新计划：> 1. TF 1. emd/hht 2. cz(chirplet-transform)> 2. MIR 1. multi-pitch track 2. chord estimate> 3. adapter filter 1. linear/nonlinear 2. time/fre domain 3. kalman

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