Cascaded all-pass filters with randomized center frequencies and phase polarity for acoustic and speech measurement and data augmentation

TL;DR

This paper presents a novel all-pass filter-based infrastructure with randomized parameters for improved acoustic and speech measurement and data augmentation, offering a flexible, theoretically grounded, and extensible tool for various signal analysis applications.

Contribution

It introduces a new measurement method using randomized all-pass filters that enhances capability and flexibility over previous approaches, with open-source MATLAB tools.

Findings

Enables simultaneous measurement of multiple attributes including non-linear ones.

Provides a versatile framework applicable to biological signal analysis.

Open-source MATLAB implementation available for real-time acoustic measurement.

Abstract

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.