HDR (High Dynamic Range) Audio Wearable and Its Performance Visualization

摘要

We introduce a novel use of wearable technology to reconstruct and output high dynamic range (HDR) audio signals. The purpose of designing an end-to-end HDR audio wearable device is to create an audio device capable of replicating and even extending the dynamic range of human hearing. We also introduce a different method of visualizing audio by way of a rotary Sequential Wave Imprinting Machine (SWIM). The results show that real-time HDR audio processing and visualization are possible at the standard audio sampling rate of 44.1 kHz. Additionally, the quality of the recorded audio improved from the originally captured data after HDR processing. We further analyze the dependence of different audio gain combinations as well as the influence of the number of audio input channels on the quality of the HDR signal reconstruction in various acoustic environments.