CCI-Mobile: Signal Processing Advancements for Cochlear Implant Users in Naturalistic Environments

1个项目摘要/摘要(最多30行) 2积极奖的主要目标(具体目标4)是开发下一代、灵活、开放源码、 3便携实时语音处理器平台将与人工耳蜗术研究共享 4社区。该平台的一个成功版本(CCI-MOBILE)已经开发并共享 5在世界各地拥有许多学术和私人研究实验室。CCI-Mobile兼容 6临床可用的植入电子设备，但它在提供灵活性和实时能力方面是独一无二的 7比任何现有的外部语音处理器或其他可用的语音处理器大几个数量级 8个研究平台。 9由数十名用户组成的CCI-Mobile研究社区对以下内容非常感兴趣 10扩展CCI-Mobile功能和软件，以促进在现实的收听情况下进行现场测试。 11其中包括：(I)跨不同CCI进行远程实验和数据收集的能力- 12个移动站点；(2)在家里和其他现实世界环境中进行实验和数据收集； 13(Iii)实施远程刺激参数实时变化；(Iv)记录和存储样本 14声环境；(V)使用生态瞬时评估(EMA)，这是一种收集 15名参与者在他们的自然环境中做出反应，并及时接近他们所报告的经历。 16虽然在单个平台中拥有所有这些功能将在以下方面培育新的范例 17个可能的研究项目，则存在开发此类功能的风险 跨站点的18种不兼容方式。相反，我们建议开发一个单一的、开源的云环境 对于CCI-移动代码、算法和数据，为19。这将包括一个数据库存储库，其设计基于 20在公平原则上。跨CCI移动站点进行全球众包试验的能力将 21是将极大地加速测试和开发新型音频处理的主要功能 22种算法。重要的是，该项目将利用NIH Strides倡议提供的资源。 23由于我们的团队在相关工作方面的专业知识，例如由Lena基金会或 24个由UTD团队开发的用于Apollo-11音频资源的云端数据共享存储库，我们 25认为我们处于有利地位，可以开展拟议的开发工作。《副刊》 26将主要用于聘请顶尖的计算机科学和工程专业知识来补充 27我们现有的优势将促进CCI-Mobile在全球范围内的可扩展改进 使用了28个研究界面。

1 Project Summary/Abstract (30 lines maximum) 2 The main goal of the active award (Specific Aim 4) is to develop a next-generation, flexible, open source, 3 portable and real-time speech processor platform to be shared with the cochlear implant research 4 community. A successful version of the platform (CCi-MOBILE) has already been developed and shared 5 with many academic and private research laboratories around the world. CCi-MOBILE is compatible with 6 clinically available implanted electronics, but it is unique in providing flexibility and real-time capability 7 that is orders of magnitude greater than any existing external speech processors or other available 8 research platforms. 9 There is much interest among the CCi-MOBILE research community, consisting of dozens of users, to 10 expand CCi-MOBILE capabilities and software to promote field testing in realistic listening situations. 11 These include: (i) the ability to conduct remote experiments and data collection across different CCi- 12 MOBILE sites; (ii) conduct experiments and data collection at home and other real-world environments; 13 (iii) implementation of remote stimulation parameter changes in real time; (iv) record and store samples 14 of the acoustic environment; (v) use Ecological Momentary Assessment (EMA), a technique to collect 15 participant responses in their natural environment and close in time to the experience they are reporting. 16 While having all this functionality in a single platform would foster a new paradigm in terms of the 17 research projects that may be possible, there is a risk that such functionality may be developed in 18 incompatible ways across sites. Instead, we propose developing a single, open-source cloud environment 19 for CCi-MOBILE code, algorithms, and data. This will include a database repository whose design is based 20 on FAIR principles. The ability to conduct global crowdsourced experiments across CCi-MOBILE sites will 21 be a major feature that will greatly accelerate the testing and development of novel audio processing 22 algorithms. Importantly, the project will leverage resources available through the NIH STRIDES initiative. 23 Due to our teams’ expertise in related efforts such as those supported by the LENA Foundation or the 24 cloud-based data sharing depository for Apollo-11 audio resources developed by the UTD team, we 25 believe we are in an excellent position to carry out the proposed development work. The supplement 26 would be largely used to engage top-notch computer science and engineering expertise to complement 27 our existing strengths in a way that will facilitate scalable, world-wide improvement in how the CCi-Mobile 28 research interface is utilized.