Real-time and interactive tools for vocal training based on an analytic signal with a cosine series envelope
This work addresses the need for interactive tools in vocal training for learners, though it appears incremental as it builds on existing analytic signal methods.
The authors tackled the problem of providing real-time feedback for vocal training by developing a tool that visualizes fundamental frequency candidates, using an efficient algorithm based on analytic signals to assist learners in improving vocalization awareness.
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.