An Open-source Speech Processing Platform (OSP) for Research on Hearing Loss and Related Disorders

用于研究听力损失和相关疾病的开源语音处理平台 (OSP)

• 批准号: 10482312
• 负责人: Harinath Garudadri
• 金额: $ 111.2万
• 依托单位: NADI LLC
• 依托单位国家: 美国
• 财政年份: 2022
• 资助国家: 美国
• 起止时间: 2022-06-01 至 2024-05-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/10482312
• 关键词: Acoustics; Address; Adoption; Adult; Affect; Algorithms; Architecture; Assessment tool; Audiology; Cellular Phone; Clinical; Clinical Research; Collaborations; Communities; Computer software; Databases; Development; Devices; Discrimination; Disease; Ear; Ecological momentary assessment; Ecosystem; Engineering; Environment; Feedback; Fostering; Generations; Goals; Grant; Healthcare; Hearing; Hearing Aids; Impaired cognition; Individual; Infrastructure; Investigation; Just-Noticeable Differences; Life; Location; Measures; Mechanics; Monitor; National Institute on Deafness and Other Communication Disorders; Nature; Noise; Outcome; Outcome Assessment; Performance; Peripheral; Persons; Phase; Procedures; Psychophysics; Quality of life; Reaction Time; Research; Research Personnel; Small Business Innovation Research Grant; Software Design; Speech; Speech Perception; Stimulus; Surveys; System; Tablets; Technology; Test Result; Testing; Time; Translating; United States National Institutes of Health; Universities; Validation; Work; base; behavioral response; commercialization; design; disability; evidence base; expectation; experience; experimental study; fall risk; flexibility; graphical user interface; hearing impairment; improved; innovation; novel; open source; open source tool; operation; preference; product development; research and development; research clinical testing; response; signal processing; software development; speech in noise; speech processing; success; tool; web server; wireless

ABSTRACT Hearing loss (HL) is an invisible disability affecting 360 million people worldwide that can have far- reaching consequences, including reduced quality of life, increased risk of falls, and cognitive decline, yet only one in three individuals with HL owns a hearing aid (HA). Despite a strong desire and need in the hearing loss community for quality, affordable hearing aids, the proprietary “black box” nature of commercial HAs is a major obstacle to achieving breakthroughs in audiology research, improving hearing aid technology, and translating it to use by hearing impaired individuals. Motived by the need for alternatives to commercial HA devices for audiology research, the Nadi team developed the Open-source Speech Processing Platform (OSP) for hearing aid research and development, which has the potential to bridge the gap between audiology research and commercialization of HL technologies, as well as promote psychophysical research beyond what is feasible today. OSP comprises multiple real-time master hearing aid algorithms (MHAs) and an embedded web server that hosts onboard apps (accessible by any browser-enabled device, such as a smartphone, tablet, or a PC) to monitor and control hearing aid operation. OSP hardware includes a wearable processor based on smartphone chipsets and behind-the-ear, receiver-in-the-canal (BTE-RIC) form factor ear-level assemblies. The feasibility of the OSP system was demonstrated in the lab and the field for both audiologist-fitting and self-fitting. The proposed direct Phase II project will validate the platform with clinical testing, the results of which will inform development of a manufacturing package for OSP hardware and a software support infrastructure for audiology research using OSP. The OSP software, including audiology research tools (Aim 1) and outcome assessment tools (Aim 2), will be validated by measuring aided speech perception outcomes in quiet and noisy environments for adults with HL. This will establish the validity of OSP for clinical research under realistic conditions. In addition, ecological momentary assessment (EMA) tools (Aim 3) will be validated using well established software test procedures for correctness of operation. The hardware revisions and Agile software development based on user feedback will result in a rich suite of algorithms, including multiple MHAs, apps for both researchers and listeners with HL to control MHAs, automated tools to assess outcomes, and tools to administer EMA surveys in the field. This project will be conducted by a strong interdisciplinary team comprised of investigators in systems design and signal processing, product development and support, software architecture, hardware manufacturing, and audiology. The success of this project will lead to a validated set of open-source HA research tools that will allow researchers to investigate the interactions among various signal processing functions, undertake psychophysical research not possible with current tools, and generate evidence- based solutions to increase access to hearing healthcare.

抽象的 听力损失 (HL) 是一种无形的残疾，影响着全世界 3.6 亿人，可能会造成深远的影响。 造成后果，包括生活质量下降、跌倒风险增加和认知能力下降，但仅 三分之一的 HL 患者拥有助听器 (HA)。尽管听力损失者有强烈的愿望和需要 社区追求优质、价格实惠的助听器，商业 HA 专有的“黑匣子”性质是一个主要因素 听力学研究突破、助听器技术改进和转化的障碍 供听力障碍人士使用。出于对商业 HA 设备替代品的需求 听力学研究，Nadi 团队开发了用于听力的开源语音处理平台 (OSP) 援助研究和开发，有可能弥合听力学研究和 HL 技术的商业化，并促进超出可行范围的心理物理学研究 今天。 OSP 包括多个实时主助听器算法 (MHA) 和一个嵌入式 Web 服务器 托管板载应用程序（可通过任何支持浏览器的设备访问，例如智能手机、平板电脑或 PC） 监视和控制助听器的运行。 OSP硬件包括基于智能手机的可穿戴处理器 芯片组和耳后式耳道接收器 (BTE-RIC) 形状的耳级组件。 OSP 系统的可行性在实验室和现场得到了听力学家验配的证明 和自装。拟议的直接二期项目将通过临床测试验证该平台，其结果 这将为 OSP 硬件和软件支持的制造包的开发提供信息 使用 OSP 进行听力学研究的基础设施。 OSP 软件，包括听力学研究工具（目标 1） 和结果评估工具（目标 2），将通过测量辅助言语感知结果来验证 适合成人 HL 的安静和嘈杂的环境。这将确立 OSP 对于临床研究的有效性 现实条件。此外，生态瞬时评估 (EMA) 工具（目标 3）将使用以下方法进行验证 完善的软件测试程序以保证操作的正确性。硬件修订和敏捷 基于用户反馈的软件开发将产生一套丰富的算法，包括多个 MHA， 供研究人员和听众使用 HL 控制 MHA 的应用程序、评估结果的自动化工具和工具 管理 EMA 实地调查。该项目将由强大的跨学科团队进行 系统设计和信号处理、产品开发和支持、软件研究人员 建筑学、硬件制造和听力学。该项目的成功将产生一套经过验证的 开源 HA 研究工具，使研究人员能够研究各种信号之间的相互作用 处理功能，进行当前工具不可能进行的心理物理学研究，并生成证据- 基于解决方案来增加获得听力保健的机会。