SDASOct 25, 2020

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

arXiv:2010.13185v210 citationsHas Code
Originality Incremental advance
AI Analysis

This provides a theoretically solid and flexible foundation for acoustic measurement, with potential applications in fields like biological signal analysis, though it appears incremental as an upgrade to previous procedures.

The authors tackled the problem of acoustic and speech measurement by introducing a new Time Stretched Pulse infrastructure based on cascaded all-pass filters with randomized parameters, enabling simultaneous measurement of multiple attributes including non-linear ones without extra filtering or post-processing. They open-sourced a MATLAB implementation with interactive tools and functions.

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.

Foundations

The foundational work for this paper's niche, ranked by how specifically the neighbourhood builds on it — not by global fame.

Your Notes