Title: Evaluation of sound perception using a wireless sensor network for individuals with normal hearing

Authors: Xinfei Shen; Wei Wei

Addresses: School of Arts, Chongqing College of Humanities, Science & Technology, Chongqing, China ' School of Arts, Chongqing College of Humanities, Science & Technology, Chongqing, China

Abstract: Tone perception depends on reliable frequency cues, yet wireless-sensing implants often convey imprecise pitch because of electrode length, channel limits, and speech-coding strategies. To enhance robustness in wireless sensor network (WSN) sound-source localisation, we introduce a linear-programming sequential localisation algorithm (LPSBL). The method models sequential signal arrival-time constraints across nodes as a linear program and embeds relaxation to compensate for measurement errors, preventing localisation failure under noise. We also examined pitch outcomes in children using hearing technologies. Average tone-perception scores for normal-hearing children with unilateral WSN hearing aids remained at chance, whereas children fitted bimodally (implant + acoustic aid) showed modest pitch recognition that was nevertheless low overall. These findings indicate that, while LPSBL strengthens WSN localisation robustness, bimodal assistance yields only limited improvements in pitch perception, underscoring the need for refined acoustic-electric processing and targeted training.

Keywords: teaching effect; normal hearing people; music perception; wireless sound sensor network.

DOI: 10.1504/IJCAT.2026.151383

International Journal of Computer Applications in Technology, 2026 Vol.78 No.1, pp.53 - 62

Received: 10 Dec 2024
Accepted: 27 Feb 2025
Published online: 26 Jan 2026 *

Full-text access for editors Full-text access for subscribers Purchase this article Comment on this article