Data from: Piezoelectric nanofibers-based intelligent hearing system

Hearing loss, affecting individuals of all ages, can impair education,
social function and quality of life. Current treatments, such as hearing
aids and implants, aim to mitigate these effects but often fall short in
addressing the critical issue of accurately pinpointing sound sources. We
report an intelligent hearing system inspired by the human auditory
system: an asymmetric well-aligned piezoelectric nanofibres combined with
neural networks to mimic natural auditory processes. Piezoelectric
nanofibers with spirally varying lengths and directions transmit and
convert acoustic sound into mechanoelectrical signals, mimicking the
complex cochlear dynamics. These signals are then encoded by digital
neural networks, enabling accurate sound direction recognition. This
intelligent hearing system surpasses human directional hearing, accurately
recognising sound directions horizontally and vertically. The advancement
represents a significant stride towards next-generation artificial
hearing, harmonising transduction and perception with a nature-inspired
design. It promises for applications in hearing aids, wearable devices and
implants, offering enhanced auditory experiences for those with hearing
impairments. This dataset contains essential data collected from the
piezoelectric nanofibers and the intelligent hearing system.

听力损失可累及各年龄段人群，会对其教育、社会功能及生活质量造成损害。当前的治疗手段，如助听器与植入式听力设备，旨在缓解上述影响，但往往无法解决精准定位声源这一关键难题。本研究报道了一种受人类听觉系统启发的智能听力系统：将高度对齐的不对称压电纳米纤维（piezoelectric nanofibres）与神经网络（neural networks）相结合，以模拟自然听觉过程。螺旋式变化长度与方向的压电纳米纤维可将声学声波传递并转换为机电信号（mechanoelectrical signals），以此模拟复杂的耳蜗动力学（cochlear dynamics）过程。随后这些信号经数字神经网络编码，可实现精准的声源方向识别。该智能听力系统的性能超越人类的声源定向听觉，可精准识别水平与垂直方向上的声源方位。这一技术进步朝着下一代人工听觉迈出了重要一步，通过仿生设计实现了换能与感知的协同统一。该系统有望应用于助听器、可穿戴设备及植入式设备领域，为听力受损人群带来更优质的听觉体验。本数据集包含从压电纳米纤维及该智能听力系统中采集的核心实验数据。