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Express Paper

Comfortability analysis of immersive sound playback system for cabin noise based on frontal lobe fNIRS experiment: an application of 4th order ambisonics

Authors: Lee, Yonghee; Oh, Yong Suk; Song, Wooseok; Hong, Jiyoung

Express Paper · Paper 461 · May 2026

Abstract

This study introduces a fourth-order ambisonic-based decoding system to reproduce railway cabin running noise in a studio environment, enabling enhanced spatial impression and detailed sound field variation. Real-world operational noise was recorded using a multichannel fourth-order Ambisonics microphone (Eigenmike EM32, mh acoustics LLC, USA), and the reproduced sound field was implemented through a multichannel loudspeaker system. The reproduced signals were quantitatively compared with the original operational noise in terms of spectral variation and waveform distortion. To further evaluate cabin acoustic characteristics using brain-response-based quantitative metrics, additional analyses were conducted employing a Sound Quality Index (SQI) and functional near-infrared spectroscopy (fNIRS). The playback system consisted of a 21.1-channel configuration, comprising four upper, twelve middle, and five lower loudspeakers. Waveform distortion relative to the original sound was analyzed under varying panning strategies. For spatial resolution assessment, angular resolutions of 22.5, 30, and 45 were applied. As the angular resolution decreased, precise directional rendering became more challenging; however, approximate directional localization was successfully achieved in most cases. For brain-response-based noise comfort evaluation, comparative experiments were conducted using SQI metrics and fNIRS measurements under operational noise conditions. Diffusion optical tomography (DOT) data obtained during increasing Loudness and Sharpness SQI regions were trained using a Faster R-CNNbased model to identify neural patterns associated with increasing discomfort.

Details

AES Convention
160
Paper number
461
Publication date
May 28, 2026
Session subject
Audio Applications and Technologies, Immersive Audio
Affiliation
Changwon National University; Changwon National University; Transportation System Engineering, Korea Railroad Research Institute School, University of Science and Technology (See document for exact affiliation information.)
Type
Express Paper