相关实验视频
Updated: Jun 20, 2026
09:44
Neuro-rehabilitation Approach for Sudden Sensorineural Hearing Loss
Published on: January 25, 2016
19.2K
评估听力助听器与基于深度神经网络的降噪的现实世界的好处:一个生态瞬间评估研究
Jeppe Høy Christensen1, Helen Whiston2, Melanie Lough2
1Eriksholm Research Centre, Oticon A/S, Snekkersten, Denmark.
American journal of audiology
|February 14, 2024
概括
深度神经网络 (DNN) 助听器降噪在不同的背景噪声水平上提供一致的声音满足. 听力助听器中的传统降噪显示,用户满意度与环境信号噪声比 (SNR) 有所不同.
科学领域:
- 听力学 听力学是指听力学.
- 信号处理 信号处理
- 医疗保健中的人工智能
背景情况:
- 助听器降噪技术可以改善受控环境中的听力.
- 不同的降噪系统在现实世界中的有效性仍然不清楚.
- 深度神经网络 (DNN) 为助听器的先进降噪提供了潜力.
研究的目的:
- 为了比较基于DNN的降噪与传统助听器系统的实际有效性.
- 在自然条件下评估用户对具有不同降噪技术的助听器的满意度.
主要方法:
- 生态瞬间评估 (EMA) 收集了40名助听器用户的现实生活听力体验.
- 两种高级助听器模型进行了比较:一种具有传统降噪 (HA1) 和一种基于DNN的降噪 (HA2).
- 数据包括用户满意度评级,环境声压水平 (SPL),信号噪声比 (SNR) 和助听器音量调整在两个14天的时间段.
主要成果:
- 用户对环境噪声的评估与SPL和SNR相关,但不受助听器模型的影响.
- 在两种助听器模型之间,整体满意度没有显著差异.
- 个人对传统降噪的满意度 (HA1) 取决于环境SNR,而不是基于DNN的 (HA2).
结论:
- 使用基于DNN的降噪的助听器,无论背景噪声水平如何,都能提供一致的声音满足感.
- 传统的降噪系统带来了取决于环境SNR的满足感.
- 基于DNN的助听器降噪在现实生活中表现出卓越的性能,可变的声学环境.
相关概念视频
01:31Hearing
When we hear a sound, our nervous system is detecting sound waves—pressure waves of mechanical energy traveling through a medium. The frequency of the wave is perceived as pitch, while the amplitude is perceived as loudness.
01:17Auditory Perception
The auditory system is essential for sound perception, utilizing various critical structures. When sound waves enter the outer ear, they travel through the ear canal and cause the eardrum to vibrate. These vibrations are then transmitted to the middle ear, where three tiny bones – the malleus, incus, and stapes – amplify the sound. This amplification is crucial, as it ensures that the sound vibrations are strong enough to be conveyed to the inner ear. These vibrations then reach the cochlea, a...