• 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

开发一种新的多通道压缩助听器初始拟合方法:CAMEQ2-HF。

Development of a new method for deriving initial fittings for hearing aids with multi-channel compression: CAMEQ2-HF.

机构信息

Department of Experimental Psychology, University of Cambridge, UK.

出版信息

Int J Audiol. 2010 Mar;49(3):216-27. doi: 10.3109/14992020903296746.

DOI:10.3109/14992020903296746
PMID:20151930
Abstract

Moore et al (1999b) described a procedure, CAMEQ, for the initial fitting of multi-channel compression hearing aids. The procedure was derived using a model of loudness perception for impaired hearing. We describe here the development of a new fitting method, CAMEQ2-HF, which differs from CAMEQ in the following ways: (1) CAMEQ2-HF gives recommended gains for centre frequencies up to 10 kHz, whereas the upper limit for CAMEQ is 6 kHz; (2) CAMEQ is based on the assumption that the hearing aid user faces the person they wish to hear and uses a free-field-to-eardrum transfer function for frontal incidence. CAMEQ2-HF is based on the assumption that the user may wish to hear sounds from many directions, and uses a diffuse-field-to-eardrum transfer function; (3) CAMEQ2-HF is based on an improved loudness model for impaired hearing; (4) CAMEQ2-HF is based on recent wideband measurements of the average spectrum of speech.

摘要

摩尔等人(1999b)描述了一种用于初始适配多通道压缩助听器的程序,CAMEQ。该程序是使用受损听力的响度感知模型推导出来的。我们在这里描述了一种新的适配方法,CAMEQ2-HF,它与 CAMEQ 有以下几点不同:(1)CAMEQ2-HF 为中心频率高达 10 kHz 的增益提供了建议,而 CAMEQ 的上限为 6 kHz;(2)CAMEQ 基于助听器使用者面对他们希望听到的人并使用自由场到鼓膜传递函数用于正面入射的假设。CAMEQ2-HF 基于使用者可能希望从多个方向听到声音的假设,并使用扩散场到鼓膜传递函数;(3)CAMEQ2-HF 基于受损听力的改进响度模型;(4)CAMEQ2-HF 基于最近对语音平均频谱的宽带测量。

相似文献

1
Development of a new method for deriving initial fittings for hearing aids with multi-channel compression: CAMEQ2-HF.开发一种新的多通道压缩助听器初始拟合方法:CAMEQ2-HF。
Int J Audiol. 2010 Mar;49(3):216-27. doi: 10.3109/14992020903296746.
2
Evaluation of the CAMEQ2-HF method for fitting hearing aids with multichannel amplitude compression.评估 CAMEQ2-HF 方法在多通道幅度压缩助听器适配中的应用。
Ear Hear. 2010 Oct;31(5):657-66. doi: 10.1097/AUD.0b013e3181e1cd0d.
3
A comparison of gain for adults from generic hearing aid prescriptive methods: impacts on predicted loudness, frequency bandwidth, and speech intelligibility.成人使用通用助听器处方方法的增益比较:对预测响度、频率带宽和言语可懂度的影响。
J Am Acad Audiol. 2011 Jul-Aug;22(7):441-59. doi: 10.3766/jaaa.22.7.5.
4
Use of a loudness model for hearing aid fitting: III. A general method for deriving initial fittings for hearing aids with multi-channel compression.响度模型在助听器验配中的应用:III. 一种为具有多通道压缩功能的助听器推导初始验配的通用方法。
Br J Audiol. 1999 Aug;33(4):241-58. doi: 10.3109/03005369909090105.
5
Use of a loudness model for hearing aid fitting: II. Hearing aids with multi-channel compression.响度模型在助听器验配中的应用:II. 具有多通道压缩功能的助听器
Br J Audiol. 1999 Jun;33(3):157-70. doi: 10.3109/03005369909090095.
6
Is normal or less than normal overall loudness preferred by first-time hearing aid users?初次使用助听器的用户更喜欢正常音量还是低于正常的整体音量?
Ear Hear. 2004 Apr;25(2):159-72. doi: 10.1097/01.aud.0000120364.13671.e2.
7
Comparison of three procedures for initial fitting of compression hearing aids. I. Experienced users, fitted bilaterally.三种压缩式助听器初次适配程序的比较。I. 有经验的使用者,双侧适配。
Br J Audiol. 2001 Dec;35(6):339-53. doi: 10.1080/00305364.2001.11745252.
8
Comparison of three procedures for initial fitting of compression hearing aids. III. Inexperienced versus experienced users.三种压缩式助听器初次适配程序的比较。III. 经验不足与经验丰富的使用者
Int J Audiol. 2004 Apr;43(4):198-210. doi: 10.1080/14992020400050028.
9
Use of a loudness model for hearing aid fitting. IV. Fitting hearing aids with multi-channel compression so as to restore 'normal' loudness for speech at different levels.响度模型在助听器验配中的应用。IV. 使用多通道压缩技术验配助听器,以恢复不同声级下言语的“正常”响度。
Br J Audiol. 2000 Jun;34(3):165-77. doi: 10.3109/03005364000000126.
10
Effects of Modified Hearing Aid Fittings on Loudness and Tone Quality for Different Acoustic Scenes.改良助听器适配对不同声学场景下响度和音质的影响。
Ear Hear. 2016 Jul-Aug;37(4):483-91. doi: 10.1097/AUD.0000000000000285.

引用本文的文献

1
Prevalence of excess binaural broadband loudness summation in the hearing-impaired population and implications for hearing aid gain targets.听力受损人群中双耳宽带响度总和过度的患病率及其对助听器增益目标的影响。
PLoS One. 2025 Aug 29;20(8):e0330517. doi: 10.1371/journal.pone.0330517. eCollection 2025.
2
Neural-WDRC: A Deep Learning Wide Dynamic Range Compression Method Combined With Controllable Noise Reduction for Hearing Aids.神经宽动态范围压缩:一种结合可控降噪的深度学习宽动态范围压缩方法用于助听器。
Trends Hear. 2025 Jan-Dec;29:23312165241309301. doi: 10.1177/23312165241309301.
3
Intelligibility Sound Therapy Enhances the Ability of Speech-in-Noise Perception and Pre-Perceptual Neurophysiological Response.
可懂度声音疗法增强噪声环境下言语感知能力和感知前神经生理反应。
Biology (Basel). 2024 Dec 6;13(12):1021. doi: 10.3390/biology13121021.
4
Development and Evaluation of a Loudness Validation Method With Natural Signals for Hearing Aid Fitting.一种用于助听器验配的基于自然信号的响度验证方法的开发与评估
Trends Hear. 2024 Jan-Dec;28:23312165241299778. doi: 10.1177/23312165241299778.
5
Neural hyperactivity and altered envelope encoding in the central auditory system: Changes with advanced age and hearing loss.中枢听觉系统的神经活动亢进和包络编码改变:与年龄增长和听力损失相关的变化。
Hear Res. 2024 Feb;442:108945. doi: 10.1016/j.heares.2023.108945. Epub 2023 Dec 23.
6
Evaluation of deep marginal feedback cancellation for hearing aids using speech and music.使用语音和音乐评估助听器的深度边缘反馈消除。
Trends Hear. 2023 Jan-Dec;27:23312165231192290. doi: 10.1177/23312165231192290.
7
Large-scale electrophysiology and deep learning reveal distorted neural signal dynamics after hearing loss.大规模电生理学和深度学习揭示听力损失后神经信号动力学的扭曲。
Elife. 2023 May 10;12:e85108. doi: 10.7554/eLife.85108.
8
Feasibility of hearing aid gain self-adjustment using speech recognition.使用语音识别进行助听器增益自我调整的可行性
J Acoust Soc Korea. 2022;41(1):76-86. doi: 10.7776/ASK.2022.41.1.076. Epub 2022 Jan 31.
9
Using Automatic Speech Recognition to Optimize Hearing-Aid Time Constants.使用自动语音识别优化助听器时间常数。
Front Neurosci. 2022 Mar 17;16:779062. doi: 10.3389/fnins.2022.779062. eCollection 2022.
10
OPRA-RS: A Hearing-Aid Fitting Method Based on Automatic Speech Recognition and Random Search.OPRA-RS:一种基于自动语音识别和随机搜索的助听器验配方法。
Front Neurosci. 2022 Feb 21;16:779048. doi: 10.3389/fnins.2022.779048. eCollection 2022.