Suppr超能文献

人工耳蜗使用者声音质量的评估与改善

Assessment and improvement of sound quality in cochlear implant users.

作者信息

Caldwell Meredith T, Jiam Nicole T, Limb Charles J

机构信息

Department of Otolaryngology-Head & Neck Surgery University of California San Francisco California.

Johns Hopkins University School of Medicine Baltimore Maryland.

出版信息

Laryngoscope Investig Otolaryngol. 2017 May 28;2(3):119-124. doi: 10.1002/lio2.71. eCollection 2017 Jun.

Abstract

OBJECTIVES

Cochlear implants (CIs) have successfully provided speech perception to individuals with sensorineural hearing loss. Recent research has focused on more challenging acoustic stimuli such as music and voice emotion. The purpose of this review is to evaluate and describe sound quality in CI users with the purposes of summarizing novel findings and crucial information about how CI users experience complex sounds.

DATA SOURCES

Here we review the existing literature on PubMed and Scopus to present what is known about perceptual sound quality in CI users, discuss existing measures of sound quality, explore how sound quality may be effectively studied, and examine potential strategies of improving sound quality in the CI population.

RESULTS

Sound quality, defined here as the perceived richness of an auditory stimulus, is an attribute of implant-mediated listening that remains poorly studied. Sound quality is distinct from appraisal, which is generally defined as the subjective likability or pleasantness of a sound. Existing studies suggest that sound quality perception in the CI population is limited by a range of factors, most notably pitch distortion and dynamic range compression. Although there are currently very few objective measures of sound quality, the CI-MUSHRA has been used as a means of evaluating sound quality. There exist a number of promising strategies to improve sound quality perception in the CI population including apical cochlear stimulation, pitch tuning, and noise reduction processing strategies.

CONCLUSIONS

In the published literature, sound quality perception is severely limited among CI users. Future research should focus on developing systematic, objective, and quantitative sound quality metrics and designing therapies to mitigate poor sound quality perception in CI users.

LEVEL OF EVIDENCE

NA.

摘要

目的

人工耳蜗(CI)已成功为感音神经性听力损失患者提供言语感知。近期研究聚焦于更具挑战性的声学刺激,如音乐和语音情感。本综述的目的是评估和描述人工耳蜗使用者的声音质量,以总结关于人工耳蜗使用者如何体验复杂声音的新发现和关键信息。

数据来源

在此,我们回顾了PubMed和Scopus上的现有文献,以呈现关于人工耳蜗使用者感知声音质量的已知信息,讨论现有的声音质量测量方法,探索如何有效地研究声音质量,并研究改善人工耳蜗使用者声音质量的潜在策略。

结果

声音质量在此定义为听觉刺激的感知丰富度,是植入介导听力的一个属性,目前研究较少。声音质量与评价不同,评价通常定义为声音的主观喜爱度或愉悦度。现有研究表明,人工耳蜗使用者的声音质量感知受到一系列因素的限制,最显著的是音高失真和动态范围压缩。虽然目前声音质量的客观测量方法很少,但CI-MUSHRA已被用作评估声音质量的一种手段。有许多有前景的策略可改善人工耳蜗使用者的声音质量感知,包括蜗顶耳蜗刺激、音高调谐和降噪处理策略。

结论

在已发表的文献中,人工耳蜗使用者的声音质量感知严重受限。未来的研究应专注于开发系统、客观和定量的声音质量指标,并设计治疗方法以减轻人工耳蜗使用者声音质量感知不佳的问题。

证据水平

无。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c781/5527361/033bcacf10a8/LIO2-2-119-g001.jpg

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