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编码策略的双边耳植入物处理与CCi-MOBILE,一个开源的研究平台.
1Center for Robust Speech Systems, CILab - Cochlear Implant Processing Lab, Department of Electrical and Computer Engineering, University of Texas at Dallas, Richardson, TX 75080 USA.
IEEE/ACM transactions on audio, speech, and language processing
|December 4, 2023
概括
本研究介绍了CCi-MOBILE平台,用于测试双侧耳植入器 (CI) 算法. 它准确地测量声音源本地化,改善CI用户的语音可理解性.
科学领域:
- 听力学和听力科学 听力学和听力科学
- 生物医学工程 生物医学工程
- 神经科学是一个神经科学.
背景情况:
- 耳植入物 (CI) 用户经常在声音定位和扬声器识别方面扎,尽管在安静中有效地理解语音.
- 双边和双模听力策略越来越多地被采用,以提高CI用户的残留听力和语音可理解性.
- 准确的双边处理需要精确的同步和合适的算法之间的左侧和右侧耳植入物道,以利用间声时间和水平差异 (ITD和ILD) 线索.
研究的目的:
- 展示和验证一个定制的CI研究平台,CCi-MOBILE,用于处理双边耳植入器算法.
- 评估平台在获取精确的来源本地化信息方面的能力.
- 为了使双边CI处理在自然环境中的实时测试.
主要方法:
- 开发一个定制的CI研究平台CCi-MOBILE.
- 实施双边植入物算法处理.
- 进行基于模拟的客观和主观测试,以验证平台的准确性.
- 使用主观测试来评估源本地化性能.
主要成果:
- 在CCi-MOBILE平台上,成功展示了双边植入器算法处理.
- 主观测试给出了±8.66°的根平均平方 (RMS) 误差,用于声源定位.
- 发现该平台的源定位精度与商用耳植入器处理器相提并论.
结论:
- CCi-MOBILE平台是一个经过验证的工具,用于研究双边耳植入物处理.
- 该平台准确地捕捉源本地化,为CI用户提供了提高语音可理解性和空间听觉的潜力.
- 这项研究有助于在现实的环境中开发和测试先进的双边CI战略.
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