• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

双耳建模与 3D 打印耳朵的空间听觉线索分析。

Binaural Modelling and Spatial Auditory Cue Analysis of 3D-Printed Ears.

机构信息

School of Electrical & Electronic Engineering, Universiti Sains Malaysia, Nibong Tebal 14300, Penang, Malaysia.

Flextronics Systems Sdn. Bhd., Batu Kawan Industrial Park PMT 719 Lingkaran Cassia Selatan, Simpang Ampat 14110, Penang, Malaysia.

出版信息

Sensors (Basel). 2021 Jan 1;21(1):227. doi: 10.3390/s21010227.

DOI:10.3390/s21010227
PMID:33401407
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7795785/
Abstract

In this work, a binaural model resembling the human auditory system was built using a pair of three-dimensional (3D)-printed ears to localize a sound source in both vertical and horizontal directions. An analysis on the proposed model was firstly conducted to study the correlations between the spatial auditory cues and the 3D polar coordinate of the source. Apart from the estimation techniques via interaural and spectral cues, the property from the combined direct and reverberant energy decay curve is also introduced as part of the localization strategy. The preliminary analysis reveals that the latter provides a much more accurate distance estimation when compared to approximations via sound pressure level approach, but is alone not sufficient to disambiguate the front-rear confusions. For vertical localization, it is also shown that the elevation angle can be robustly encoded through the spectral notches. By analysing the strengths and shortcomings of each estimation method, a new algorithm is formulated to localize the sound source which is also further improved by cross-correlating the interaural and spectral cues. The proposed technique has been validated via a series of experiments where the sound source was randomly placed at 30 different locations in an outdoor environment up to a distance of 19 m. Based on the experimental and numerical evaluations, the localization performance has been significantly improved with an average error of 0.5 m from the distance estimation and a considerable reduction of total ambiguous points to 3.3%.

摘要

在这项工作中,使用一对三维(3D)打印耳朵构建了一个类似于人类听觉系统的双耳模型,以在垂直和水平方向上定位声源。首先对所提出的模型进行了分析,以研究空间听觉线索与声源的 3D 极坐标之间的相关性。除了通过耳间和频谱线索进行估计技术外,还引入了来自直接和混响能量衰减曲线组合的特性作为定位策略的一部分。初步分析表明,与通过声压级方法进行的近似相比,后者提供了更准确的距离估计,但单独使用不足以消除前后混淆。对于垂直定位,还表明通过频谱凹口可以稳健地编码仰角。通过分析每种估计方法的优缺点,制定了一种新的声源定位算法,并通过互相关耳间和频谱线索进一步改进了该算法。该技术已通过一系列实验进行了验证,其中声源随机放置在户外环境中的 30 个不同位置,距离可达 19 米。基于实验和数值评估,定位性能得到了显著改善,距离估计的平均误差为 0.5 米,总歧义点数量减少了 3.3%。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a0b7/7795785/42b0a2fe4814/sensors-21-00227-g020.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a0b7/7795785/03ead543e487/sensors-21-00227-g0A1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a0b7/7795785/764107067941/sensors-21-00227-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a0b7/7795785/d604703c8998/sensors-21-00227-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a0b7/7795785/fa152c1c2cbd/sensors-21-00227-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a0b7/7795785/bc443f931dba/sensors-21-00227-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a0b7/7795785/f46b0ac378cc/sensors-21-00227-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a0b7/7795785/64dc2dfbe220/sensors-21-00227-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a0b7/7795785/ad2ae96a367a/sensors-21-00227-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a0b7/7795785/27cfe4e9e877/sensors-21-00227-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a0b7/7795785/c67431f7dbf8/sensors-21-00227-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a0b7/7795785/af41f77ae4cd/sensors-21-00227-g010.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a0b7/7795785/7417eb24ce34/sensors-21-00227-g011.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a0b7/7795785/32d84f3e4c5f/sensors-21-00227-g012.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a0b7/7795785/4c1ad293fa6e/sensors-21-00227-g013.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a0b7/7795785/c9bd81d3da00/sensors-21-00227-g014.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a0b7/7795785/90a9804aacd2/sensors-21-00227-g015.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a0b7/7795785/a1cae604c575/sensors-21-00227-g016.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a0b7/7795785/a892cc9d85a7/sensors-21-00227-g017.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a0b7/7795785/1d1cafbd1f3e/sensors-21-00227-g018.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a0b7/7795785/ded1abc9edfb/sensors-21-00227-g019.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a0b7/7795785/42b0a2fe4814/sensors-21-00227-g020.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a0b7/7795785/03ead543e487/sensors-21-00227-g0A1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a0b7/7795785/764107067941/sensors-21-00227-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a0b7/7795785/d604703c8998/sensors-21-00227-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a0b7/7795785/fa152c1c2cbd/sensors-21-00227-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a0b7/7795785/bc443f931dba/sensors-21-00227-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a0b7/7795785/f46b0ac378cc/sensors-21-00227-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a0b7/7795785/64dc2dfbe220/sensors-21-00227-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a0b7/7795785/ad2ae96a367a/sensors-21-00227-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a0b7/7795785/27cfe4e9e877/sensors-21-00227-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a0b7/7795785/c67431f7dbf8/sensors-21-00227-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a0b7/7795785/af41f77ae4cd/sensors-21-00227-g010.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a0b7/7795785/7417eb24ce34/sensors-21-00227-g011.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a0b7/7795785/32d84f3e4c5f/sensors-21-00227-g012.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a0b7/7795785/4c1ad293fa6e/sensors-21-00227-g013.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a0b7/7795785/c9bd81d3da00/sensors-21-00227-g014.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a0b7/7795785/90a9804aacd2/sensors-21-00227-g015.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a0b7/7795785/a1cae604c575/sensors-21-00227-g016.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a0b7/7795785/a892cc9d85a7/sensors-21-00227-g017.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a0b7/7795785/1d1cafbd1f3e/sensors-21-00227-g018.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a0b7/7795785/ded1abc9edfb/sensors-21-00227-g019.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a0b7/7795785/42b0a2fe4814/sensors-21-00227-g020.jpg

相似文献

1
Binaural Modelling and Spatial Auditory Cue Analysis of 3D-Printed Ears.双耳建模与 3D 打印耳朵的空间听觉线索分析。
Sensors (Basel). 2021 Jan 1;21(1):227. doi: 10.3390/s21010227.
2
Relearning sound localization with a new ear.用新耳朵重新学习声音定位。
J Neurosci. 2005 Jun 1;25(22):5413-24. doi: 10.1523/JNEUROSCI.0850-05.2005.
3
Monaural and binaural spectral cues created by the external ears of the pallid bat.苍白蝙蝠外耳产生的单耳和双耳频谱线索。
Hear Res. 1996 May;95(1-2):1-17. doi: 10.1016/0378-5955(95)00223-5.
4
Monaural and binaural spectrum level cues in the ferret: acoustics and the neural representation of auditory space.雪貂的单耳和双耳频谱水平线索:听觉空间的声学与神经表征
J Neurophysiol. 1994 Feb;71(2):785-801. doi: 10.1152/jn.1994.71.2.785.
5
[Sound localization cues of binaural hearing].[双耳听觉的声音定位线索]
Laryngorhinootologie. 2003 Apr;82(4):240-8. doi: 10.1055/s-2003-38932.
6
Sound localization.声音定位
Handb Clin Neurol. 2015;129:99-116. doi: 10.1016/B978-0-444-62630-1.00006-8.
7
Acoustic cues underlying auditory distance in barn owls.仓鸮听觉距离的声学线索
Acta Otolaryngol. 2008 Apr;128(4):382-7. doi: 10.1080/00016480701840114.
8
Binaural weighting of pinna cues in human sound localization.人类声音定位中耳廓线索的双耳加权
Exp Brain Res. 2003 Feb;148(4):458-70. doi: 10.1007/s00221-002-1320-5. Epub 2002 Dec 6.
9
Interdependence of spatial and temporal coding in the auditory midbrain.听觉中脑中空间编码与时间编码的相互依存关系。
J Neurophysiol. 2000 Apr;83(4):2300-14. doi: 10.1152/jn.2000.83.4.2300.
10
The impact of early reflections on binaural cues.早期反射对双耳线索的影响。
J Acoust Soc Am. 2012 Jul;132(1):9-27. doi: 10.1121/1.4726052.

引用本文的文献

1
Cost-effective 3D scanning and printing technologies for outer ear reconstruction: current status.用于外耳重建的具有成本效益的 3D 扫描和打印技术:现状。
Head Face Med. 2023 Oct 27;19(1):46. doi: 10.1186/s13005-023-00394-x.

本文引用的文献

1
Joint estimation of binaural distance and azimuth by exploiting deep neural networks.利用深度神经网络联合估计双耳距离和方位角
J Acoust Soc Am. 2020 Apr;147(4):2625. doi: 10.1121/10.0001155.
2
Re-weighting of Sound Localization Cues by Audiovisual Training.通过视听训练对声音定位线索进行重新加权
Front Neurosci. 2019 Nov 15;13:1164. doi: 10.3389/fnins.2019.01164. eCollection 2019.
3
Detection of early reflections from a binaural activity map using neural networks.使用神经网络检测双耳活动图中的早期反射。
J Acoust Soc Am. 2019 Oct;146(4):2529. doi: 10.1121/1.5129129.
4
Azimuthal sound source localization of various sound stimuli under different conditions.不同条件下各种声源刺激的方位声源定位。
Eur Ann Otorhinolaryngol Head Neck Dis. 2020 Jan;137(1):21-29. doi: 10.1016/j.anorl.2019.09.007. Epub 2019 Sep 30.
5
On distance dependence of pinna spectral patterns in head-related transfer functions.
J Acoust Soc Am. 2015 Jan;137(1):EL58-64. doi: 10.1121/1.4903919.
6
The natural history of sound localization in mammals--a story of neuronal inhibition.哺乳动物声音定位的自然史——一个关于神经元抑制的故事。
Front Neural Circuits. 2014 Oct 1;8:116. doi: 10.3389/fncir.2014.00116. eCollection 2014.
7
Resolution of interaural time differences in the avian sound localization circuit-a modeling study.鸟类声定位回路中两耳时间差的分辨——建模研究。
Front Comput Neurosci. 2014 Aug 26;8:99. doi: 10.3389/fncom.2014.00099. eCollection 2014.
8
Interaural level differences and sound source localization for bilateral cochlear implant patients.双侧人工耳蜗植入患者的双耳声级差与声源定位
Ear Hear. 2014 Nov-Dec;35(6):633-40. doi: 10.1097/AUD.0000000000000057.
9
Psychophysics and neuronal bases of sound localization in humans.人类声音定位的心理物理学和神经元基础。
Hear Res. 2014 Jan;307:86-97. doi: 10.1016/j.heares.2013.07.008. Epub 2013 Jul 22.
10
Reverberation-based urban street sound level prediction.基于混响的城市街道噪声级预测。
J Acoust Soc Am. 2013 Jun;133(6):3929-39. doi: 10.1121/1.4802641.