权益分类	功能权益	普通用户	{{item.name}}会员
{{category.name}}	{{benefitItem.name}}

Maximizing speech recognition under adverse listening conditions

在不利的聆听条件下最大限度地提高语音识别能力

基本信息

批准号：
10263633
负责人：
Daniel Fogerty
金额：
$ 30.51万
依托单位：
UNIVERSITY OF ILLINOIS AT URBANA-CHAMPAIGN
依托单位国家：
美国
项目类别：
财政年份：
2016
资助国家：
美国
起止时间：
2016-07-01 至 2023-06-30
项目状态：
已结题

项目摘要

Project Summary/Abstract Currently, little is understood about the interactions of temporal processing abilities, hearing loss, and amplification or how these factors impair transmission of the speech temporal envelope and exacerbate temporal masking. This proposal targets this knowledge gap by defining the acoustic and perceptual cues that determine how older adults with normal and impaired hearing with and without amplification use the temporal envelope for speech recognition in challenging conditions. Effects of age and hearing loss will be assessed by defining suprathreshold contributions from temporal processing and cognitive abilities. The central aim is to examine and identify the most informative auditory cues when only partial speech information is available in noisy environments for older listeners when audibility is restored. The central hypothesis is that communication abilities in realistic listening environments can be maintained or improved by preserving temporal envelope properties of specific speech events and by reducing modulation masking. Aim 1 will determine the acoustic and perceptual contribution of temporal envelope cues within specific speech events. Five different listener groups enable the investigation of age, cochlear pathology, and amplification contributions to speech recognition based on specific temporal properties of the speech envelope. These properties will be isolated using combined temporal filtering and amplitude compression methods. Aim 2 will assess the acoustic and perceptual consequences of speech modulation masking imposed by the temporal envelope of a single competing talker. Extended glimpsing models will acoustically define preserved amplitude and frequency modulations during modulation masking for natural and vocoded (i.e., envelope-only) sentences. Aim 3 will determine the acoustic and perceptual consequences related to the temporal effects of spectral shaping, which represents the minimum processing of hearing aids used to ensure audibility, for varying degrees of hearing loss severity. The long-term goal of this project is to define acoustic parameters for enhanced hearing aid programming in modulated noise, such as a competing talker, and identify individual processing abilities to assist in future customization of these devices and auditory training protocols. The significant contribution of this project is in defining the key acoustic properties of the speech temporal envelope that must be preserved to maximize speech recognition in temporally complex noise by older adults with hearing loss and concomitant suprathreshold temporal processing deficits. This project implements an innovative theoretical framework to guide acoustic analyses and define the perceptual processing of speech temporal envelope modulation in the presence of a temporally complex competing signal. These innovations allow for the direct investigation of the effects of amplification on speech modulation masking for individual temporal properties of the speech signal due to a single competing talker, quite arguably the most difficult listening condition for older listeners.

项目总结/摘要目前，人们对时间处理能力、听力损失和放大或这些因素如何损害语音时间包络的传输并加剧时间掩蔽该提案通过定义声学和感知线索来解决这一知识差距，确定听力正常和受损的老年人在使用和不使用放大器的情况下如何使用颞在挑战性的条件下进行语音识别。年龄和听力损失的影响将通过定义了时间处理和认知能力的阈上贡献。中心目标是检查和识别信息量最大的听觉线索时，只有部分语音信息，当听力恢复时，老年听众的噪音环境。核心假设是，在真实的收听环境中的通信能力可以通过保留特定语音事件的时间包络特性以及减少调制掩蔽。目标1将确定特定语音事件内的时间包络线索的声学和感知贡献。五个不同的听众群体使调查的年龄，耳蜗病理，和放大基于语音包络的特定时间特性对语音识别的贡献。这些将使用组合的时间滤波和幅度压缩方法来分离属性。目标2将评估语音调制掩蔽的声学和感知后果所施加的时间一个竞争对手的信封。扩展的瞥见模型将声学定义保留的振幅以及在自然和声码的调制掩蔽期间的频率调制（即，仅限电子邮件）句子.目标3将确定与时间效应相关的声学和感知后果，频谱整形，代表用于确保可听度的助听器的最小处理，不同程度的听力损失。该项目的长期目标是定义声学参数，在调制噪声中增强助听器编程，例如竞争性谈话者，并识别个体处理能力，以帮助这些设备和听觉训练协议的未来定制。的该项目的一个重要贡献是定义了语音时间包络的关键声学特性必须保留，以最大限度地提高老年人在时间复杂噪声中的语音识别能力，听力损失和伴随的阈上时间处理缺陷。该项目实现了一个创新的理论框架，指导声学分析和定义语音的感知处理在存在时间上复杂的竞争信号的情况下的时间包络调制。这些创新允许直接调查放大对个人语音调制掩蔽的影响由于单个竞争说话者的语音信号的时间特性，可以说是最困难的老年人的听力条件。