User customization and user optimization of cochlear implant devices

人工耳蜗植入设备的用户定制和用户优化

基本信息

批准号：
9116401
负责人：
John H.L. Hansen
金额：
$ 19.13万
依托单位：
UNIVERSITY OF TEXAS DALLAS
依托单位国家：
美国
项目类别：
财政年份：
2010
资助国家：
美国
起止时间：
2010-08-01 至 2017-07-31
项目状态：
已结题

项目摘要

DESCRIPTION (provided by applicant): The current fitting approach adopted for cochlear implant (CI) users falls along the lines of "one-size-fits-all", in that it is assumed that the initial fitting in the clinic should work equally well in all listening environments. Speech coding algorithms and associated parameters (e.g., compression function) are fixed and are not optimized in any way by either the patient or clinician for different listening situations (e.g., quiet, music, noise). The present study addresses this major limitation with the use of a portable research speech processor that allows users to: (a) change MAP parameters based on two different outcome measures (subjective quality ratings and consonant intelligibility) (b) customize the MAP to different listening situations for maximum benefit, and (c) collect feedback and allow the recording of real acoustic signals for further analysis. In this study, unilateral, bilateral and bimodal users will participate in double-blind field trials to assess the true benefit of a speech processor that can be easily customized by the users to fit their needs based on subjective quality ratings or speech intelligibility measures. The overarching hypothesis of this project is that maximum benefit, both in terms of subjective quality and intelligibility, can be obtained when the cochlear implant devices are customized (by the users) to the various listening situations. The outcomes of the field studies will tell us about the difficulties experienced by CI users in real-world situations as well as the value and additional benefit of customizing speech coding algorithms to different environments, all based on feedback from CI users. Such feedback and user interaction can not be gathered using existing commercial processors, yet it is critically needed to move the field forward.

描述（由申请人提供）：目前人工耳蜗 (CI) 用户采用的验配方法属于“一刀切”的思路，因为假设诊所的初始验配应该同样有效在所有聆听环境中。语音编码算法和相关参数（例如压缩函数）是固定的，患者或临床医生都不会针对不同的聆听情况（例如安静、音乐、噪音）以任何方式进行优化。本研究通过使用便携式研究语音处理器解决了这一主要限制，该处理器允许用户：（a）根据两种不同的结果测量（主观质量评级和辅音清晰度）更改 MAP 参数（b）根据不同的听力定制 MAP (c) 收集反馈并允许记录真实的声学信号以供进一步分析。在这项研究中，单边、双边和双模用户将参与双盲现场试验，以评估语音处理器的真正好处，该语音处理器可以由用户根据主观质量评级或语音清晰度测量轻松定制以满足他们的需求。该项目的总体假设是，当人工耳蜗植入设备（由用户）根据不同的聆听情况进行定制时，可以在主观质量和清晰度方面获得最大收益。现场研究的结果将告诉我们 CI 用户在现实情况中遇到的困难，以及针对不同环境定制语音编码算法的价值和额外好处，所有这些都基于 CI 用户的反馈。使用现有的商业处理器无法收集此类反馈和用户交互，但推动该领域的发展至关重要。

项目成果

期刊论文数量（34）

专著数量（0）

科研奖励数量（0）

会议论文数量（0）

专利数量（0）

SNR Loss: A new objective measure for predicting speech intelligibility of noise-suppressed speech.

DOI：
10.1016/j.specom.2010.10.005
发表时间：
2011-03-01
期刊：
SPEECH COMMUNICATION
影响因子：
3.2
作者：
Ma, Jianfen;Loizou, Philipos C.
通讯作者：
Loizou, Philipos C.

A Dual-Microphone Speech Enhancement Algorithm Based on the Coherence Function.

DOI：
10.1109/tasl.2011.2162406
发表时间：
2011-07-18
期刊：
IEEE transactions on audio, speech, and language processing
影响因子：
0
作者：
Yousefian N;Loizou PC
通讯作者：
Loizou PC

Estimators of The Magnitude-Squared Spectrum and Methods for Incorporating SNR Uncertainty.

DOI：
10.1109/tasl.2010.2082531
发表时间：
2011-07-01
期刊：
IEEE transactions on audio, speech, and language processing
影响因子：
0
作者：
Lu Y;Loizou PC
通讯作者：
Loizou PC

Design and evaluation of a personal digital assistant-based research platform for cochlear implants.

DOI：
10.1109/tbme.2013.2262712
发表时间：
2013-11
期刊：
IEEE transactions on bio-medical engineering
影响因子：
0
作者：
Ali H;Lobo AP;Loizou PC
通讯作者：
Loizou PC

A NEW MASK-BASED OBJECTIVE MEASURE FOR PREDICTING THE INTELLIGIBILITY OF BINARY MASKED SPEECH.

一种基于掩码的新客观测量方法，用于预测二进制掩码语音的清晰度。

DOI：
10.1109/icassp.2013.6639025
发表时间：
2013
期刊：
Proceedings of the ... IEEE International Conference on Acoustics, Speech, and Signal Processing. ICASSP (Conference)
影响因子：
0
作者：
Yu,Chengzhu;Wójcicki,KamilK;Loizou,PC;Hansen,JohnHL
通讯作者：
Hansen,JohnHL