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Application of Ideal Binary Masking to disordered speech

理想二元掩蔽在语音紊乱中的应用

基本信息

批准号：
10379960
负责人：
Sarah Yoho Leopold
金额：
$ 14.5万
依托单位：
UTAH STATE UNIVERSITY
依托单位国家：
美国
项目类别：
财政年份：
2020
资助国家：
美国
起止时间：
2020-04-25 至 2024-03-31
项目状态：
已结题

项目摘要

Project Summary/Abstract The presence of background noise often has a substantial, negative impact on a listener’s ability to understand speech. Unfortunately, deciphering speech in noisy environments is commonplace for listeners. As our recent preliminary data demonstrate, when the speech signal itself is degraded, such as due to the neurological speech disorder of dysarthria, the addition of background noise only further decreases a listener’s ability to understand that speech (Yoho & Borrie, 2018). A highly promising technique developed to remediate much of this speech-in-noise difficulty is termed the Ideal Binary Mask (IBM). The IBM, and IBM estimation, has demonstrated significant improvements in understanding speech in noise for listeners with sensorineural hearing loss. However, research on this technique to date has focused on healthy, intact speech. The proposed research involves an innovative application of the IBM—to overcome the speech-in-noise difficulties with degraded speech. This application is important for listeners with either normal hearing or hearing loss, as even normal hearing listeners struggle considerably to understand degraded speech in noise. This proposal aims to demonstrate proof-of-concept for the application of IBM to a degraded speech signal, starting with the test case of dysarthria. In Aim 1, we quantify the ability of the IBM to restore intelligibility of dysarthric speech in noise to performance levels in quiet. Comparisons will be made between conditions of speech in noise, speech in noise processed by the IBM, and baseline speech in quiet, for both healthy and dysarthric speech. A predictive model will quantify the benefit of IBM processing for normal-hearing listeners, and possible moderators on this benefit. In Aim 2, we examine the benefit achieved from the IBM for listeners with sensorineural hearing impairment. Data analysis will follow that of Aim 1, and model outcomes will be compared to those from Aim 1. Successful completion of this project will inform the development of a R01 proposal evaluating the effects of IBM processing on a wide range of severities and types of degraded or imperfect speech, and account for cognitive processes such as listening effort. Knowledge of how IBM processing works with an imperfect speech signal will support the refinement of current IBM-estimation algorithms, optimizing functionality in realistic listening environments. The possible impact of this proposed research is profound—IBM-based processing has the potential not only to improve the lives of listeners with hearing loss, but also the conversational partners of speakers with dysarthria and other speech disorders. The long-term goal of this work is to provide clinically-significant tools to transform treatment of these two important populations—individuals with speech disorders and individuals with hearing loss. This collaborative research plan is the first proof of concept step to demonstrate several possible novel applications of this promising technique for new clinical treatments.

项目总结/摘要背景噪音的存在通常对听者的理解能力有实质性的负面影响演讲不幸的是，在嘈杂的环境中破译语音对于听众来说是司空见惯的。正如我们最近的初步数据表明，当语音信号本身降级时，例如由于神经系统的在构音障碍的言语障碍中，背景噪音的增加只会进一步降低听者的能力，理解这个演讲（Yoho & Borrie，2018）。一种非常有前途的技术，这种噪声中的语音困难被称为理想二进制掩码（IBM）。IBM和IBM估计，在噪声中的理解语音的显着改善与感觉神经性听力障碍的听众听力损失然而，迄今为止，对这种技术的研究主要集中在健康，完整的语音上。的提出的研究涉及IBM的创新应用-克服噪声中的语音困难言语退化。这种应用对于听力正常或听力损失的听众很重要，即使是听力正常的听众也很难理解噪声中的退化语音。这项建议的目的是证明的概念验证IBM的应用程序的退化语音信号，开始与构音障碍的测试案例在目标1中，我们量化了IBM恢复构音障碍语音清晰度的能力，噪音到安静的性能水平。将在噪声中的语音条件、语音条件和语音条件之间进行比较。在IBM处理的噪声中，以及在安静的基线语音中，对于健康和构音障碍的语音。一预测模型将量化IBM处理对正常听力听众的好处，主持人对此表示感谢。在目标2中，我们研究了IBM为听众带来的好处，感觉神经性听力障碍数据分析将遵循目标1，模型结果将与目标1相比。该项目的成功完成将为R 01的开发提供信息评估IBM处理对各种严重程度和类型的退化或不完美的言语，并解释认知过程，如听力努力。了解IBM如何处理工作与一个不完美的语音信号将支持目前的IBM估计细化算法，在真实的收听环境中优化功能。这一提议可能产生的影响研究是深刻的，基于IBM的处理不仅有可能改善听众的生活，听力损失，但也与构音障碍和其他言语障碍的发言者的对话伙伴。的这项工作的长期目标是提供具有临床意义的工具，以改变这两种重要的人群-言语障碍的个体和听力损失的个体。这项合作研究该计划是概念验证的第一步，以展示这种有前途的新应用的几种可能性。新的临床治疗技术。