论文标题
具有随机中心频率和相位极性的级联全通滤波器，用于声音和语音测量和数据增强
Cascaded all-pass filters with randomized center frequencies and phase polarity for acoustic and speech measurement and data augmentation
论文作者
论文摘要
我们基于简单的全通滤波器和系统的随机化，引入了TSP（时间拉伸脉冲）的新成员（时间拉伸脉冲），以进行声学和语音测量基础架构。这种新的基础架构从根本上升级了我们以前的测量程序，该程序可以同时测量多个属性，包括非线性属性，而无需额外的过滤或后处理。我们的新提案在声学测量中建立了理论上坚实，灵活和可扩展的基础。此外，它足够一般，可以为其他领域（例如生物信号分析）提供多功能的研究工具。我们说明了使用声学测量和数据增强作为各种潜在应用中的代表性示例。我们开源的MATLAB实施。它由一种交互式和实时的声学工具，MATLAB功能和支持材料组成。
We introduce a new member of TSP (Time Stretched Pulse) for acoustic and speech measurement infrastructure, based on a simple all-pass filter and systematic randomization. This new infrastructure fundamentally upgrades our previous measurement procedure, which enables simultaneous measurement of multiple attributes, including non-linear ones without requiring extra filtering nor post-processing. Our new proposal establishes a theoretically solid, flexible, and extensible foundation in acoustic measurement. Moreover, it is general enough to provide versatile research tools for other fields, such as biological signal analysis. We illustrate using acoustic measurements and data augmentation as representative examples among various prospective applications. We open-sourced MATLAB implementation. It consists of an interactive and real-time acoustic tool, MATLAB functions, and supporting materials.
