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; 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）是一种看不见的残疾，影响了全球3.6亿人 达到后果，包括减少生活质量，增加跌倒的风险和认知能力下降，但仅 三分之一的人拥有HL的助听器（HA）。尽管有强烈的渴望和听力损失的需求 质量，负担得起的助听器的社区，商业广告的专有“黑匣子”性质是主要的 在音频研究中取得突破，改进助听器技术并翻译它的障碍 通过听力受损的个人使用。需要替代商业HA设备的替代方案的动机 听力研究，NADI团队开发了开源语音处理平台（OSP） 援助研发，有可能弥合音频研究与 HL技术的商业化，并促进心理物理研究超越可行 今天。 OSP包括多个实时的主助听器算法（MHA）和嵌入式Web服务器 该应用程序载有板载应用程序（通过任何启用浏览器的设备，例如智能手机，平板电脑或PC访问） 监视和控制助听器操作。 OSP硬件包括基于智能手机的可穿戴处理器 芯片组和回耳的后面的芯片接收器（BTE-ric）外形的耳朵水平组件。 OSP系统的可行性在实验室和两种听力学家拟合的领域都得到了证明 和自身。拟议的直接II期项目将通过临床测试验证平台，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的听力研究基础设施。 OSP软件，包括听力学研究工具（AIM 1） 和结果评估工具（AIM 2）将通过测量辅助语音感知结果来验证 HL成人的安静和噪音环境。这将确定OSP对临床研究的有效性 现实条件。此外，将使用生态瞬时评估（EMA）工具（AIM 3）进行验证 建立的软件测试程序，以正确操作。硬件修订和敏捷 基于用户反馈的软件开发将导致丰富的算法，包括多个MHA， 针对HL的研究人员和听众的应用程序，以控制MHA，自动化的工具来评估结果和工具 在现场管理EMA调查。该项目将由一个强大的跨学科团队完成 系统设计和信号处理，产品开发和支持，软件的研究人员 建筑，硬件制造和听力学。该项目的成功将导致一组经过验证的 开源HA研究工具将使研究人员能够研究各种信号之间的相互作用 处理功能，通过当前工具不可能进行心理物理研究，并产生证据 - 基于增加获得听力医疗保健的解决方案。