Real-time and interactive tools for vocal training based on an analytic signal with a cosine series envelope

TL;DR

This paper presents real-time, interactive vocal training tools that utilize analytic signals and cosine series envelopes to provide visual feedback on fundamental frequency, aiding learners in developing vocal awareness.

Contribution

It introduces a novel real-time visualizer based on analytic signals for vocal training, with open-source MATLAB implementation and accessible resources.

Findings

Effective real-time feedback for vocal training

Open-source MATLAB tools available for practitioners

Enhanced learner awareness of vocalization qualities

Abstract

We introduce real-time and interactive tools for assisting vocal training. In this presentation, we demonstrate mainly a tool based on real-time visualizer of fundamental frequency candidates to provide information-rich feedback to learners. The visualizer uses an efficient algorithm using analytic signals for deriving phase-based attributes. We start using these tools in vocal training for assisting learners to acquire the awareness of appropriate vocalization. The first author made the MATLAB implementation of the tools open-source. The code and associated video materials are accessible in the first author's GitHub repository.