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基于声学的自动程序分类器与助听器用户手动选择听力程序的性能比较。

The performance of an automatic acoustic-based program classifier compared to hearing aid users' manual selection of listening programs.

作者信息

Searchfield Grant D, Linford Tania, Kobayashi Kei, Crowhen David, Latzel Matthias

机构信息

a Section of Audiology , The University of Auckland , Auckland , New Zealand.

b Eisdell Moore Centre , The University of Auckland , Auckland , New Zealand.

出版信息

Int J Audiol. 2018 Mar;57(3):201-212. doi: 10.1080/14992027.2017.1392048. Epub 2017 Oct 25.

Abstract

OBJECTIVE

To compare preference for and performance of manually selected programmes to an automatic sound classifier, the Phonak AutoSense OS.

DESIGN

A single blind repeated measures study. Participants were fit with Phonak Virto V90 ITE aids; preferences for different listening programmes were compared across four different sound scenarios (speech in: quiet, noise, loud noise and a car). Following a 4-week trial preferences were reassessed and the users preferred programme was compared to the automatic classifier for sound quality and hearing in noise (HINT test) using a 12 loudspeaker array.

STUDY SAMPLE

Twenty-five participants with symmetrical moderate-severe sensorineural hearing loss.

RESULTS

Participant preferences of manual programme for scenarios varied considerably between and within sessions. A HINT Speech Reception Threshold (SRT) advantage was observed for the automatic classifier over participant's manual selection for speech in quiet, loud noise and car noise. Sound quality ratings were similar for both manual and automatic selections.

CONCLUSIONS

The use of a sound classifier is a viable alternative to manual programme selection.

摘要

目的

比较手动选择的程序与自动声音分类器峰力自动感应操作系统(Phonak AutoSense OS)的偏好及性能。

设计

单盲重复测量研究。参与者佩戴峰力威博V90定制式耳背机(ITE)助听器;在四种不同声音场景(安静环境下的语音、噪声环境下的语音、强噪声环境下的语音和车内语音)中比较对不同聆听程序的偏好。经过4周试用后重新评估偏好,并使用12个扬声器阵列将用户偏好的程序与自动分类器在声音质量和噪声环境下的听力(HINT测试)方面进行比较。

研究样本

25名患有对称性中度至重度感音神经性听力损失的参与者。

结果

各场次之间及场次内部,参与者对不同场景下手动程序的偏好差异很大。在安静环境下的语音、强噪声和车内噪声环境下的语音方面,自动分类器的HINT言语接受阈(SRT)优于参与者的手动选择。手动和自动选择的声音质量评分相似。

结论

使用声音分类器是手动程序选择的可行替代方案。

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