Acoustic and perceptual effects of WDRC amplification

WDRC 放大的声学和感知效果

• 批准号: 7367081
• 负责人: PAMELA E. SOUZA
• 金额: $ 20.32万
• 依托单位: UNIVERSITY OF WASHINGTON
• 依托单位国家: 美国
• 财政年份: 2005
• 资助国家: 美国
• 起止时间: 2005-03-01 至 2010-02-28
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/7367081
• 关键词: Acoustics; Affect; Auditory; Body Weight decreased; Clinical; Condition; Confusion; Cueing for speech; Cues; Data; Dependence; Goals; Hearing Aids; Laboratories; Measures; Numbers; Pattern; Perception; Principal Investigator; Process; Property; Range; Research; Research Personnel; Resolution; Scheme; Score; Sensorineural Hearing Loss; Signal Transduction; Speech; Technology; Testing; Time; United States; Variant; Work; cohort; hearing impairment; improved; indexing; interest; sound; speech processing; speech recognition

DESCRIPTION (provided by applicant): WDRC processing uses rapid, automatic gain adjustment to place more speech cues within the listener's audible range. Most hearing aids (> 80%) now offer WDRC, so over time this technology will be provided to most of the 6.2 million hearing aid wearers in the United States. However, WDRC processing does not always improve speech recognition over conventional amplification, perhaps because of distortions to the temporal properties of the speech signal. We are particularly interested in listeners with severe loss, who because of broader auditory filters may depend more heavily on temporal cues for recognition. Severely impaired listeners cannot communicate without acceptable amplification, so it is important not to distort usable information. Therefore, the long-term objectives of this project are to describe the effects of wide-dynamic range compression (WDRC) amplification on temporal cues for speech recognition and to assess the consequences of those changes for listeners with severe sensorineural hearing loss. The first Specific Aim is to compare speech recognition scores for WDRC versus linear amplification in a cohort of listeners with severe sensorineural hearing loss. Subjects will be fit with a master hearing aid using accepted clinical parameters and speech recognition measured under laboratory conditions. We will also analyze consonant error patterns, using a feature analysis. Our hypothesis is that listeners with severe loss fit with WDRC amplification will perform more poorly than listeners with mild-to-moderate loss, and that error patterns will indicate confusion of sounds that depend on temporal cues. The second Specific Aim is to describe the effects of WDRC on temporal cues essential for speech recognition. Recognition will be measured for speech processed to limit spectral information. Acoustic analysis of amplified speech will be used in conjunction with speech recognition scores to directly examine the extent of temporal cue distortion from WDRC and to determine an acceptable range of amplitude compression. The proposed project will also test the utility of quantifying amplitude envelope changes and the usefulness of these measures to predict recognition of WDRC-amplified speech. The third Specific Aim is to describe how spectral cue perception changes with increasing numbers of compression channels. We will use acoustic analysis in combination with vowel recognition. Our hypothesis is that listeners with severe loss who are less able to discriminate spectral details will show less degradation from larger numbers of compression channels.

描述（由申请人提供）：WDRC处理使用快速，自动增益调整，以将更多的语音提示放置在听众的听觉范围内。现在，大多数助听器（> 80％）现在提供WDRC，因此随着时间的推移，这项技术将提供给美国620万助听器的大多数。但是，WDRC处理并不总是改善语音识别而不是常规放大，这可能是由于对语音信号的时间特性的扭曲。我们对遭受严重损失的听众特别感兴趣，因为更广泛的听觉过滤器可能会更大程度地取决于识别的时间提示。严重受损的听众无法在没有可接受的放大的情况下进行交流，因此不要扭曲可用信息很重要。因此，该项目的长期目标是描述广泛动力范围压缩（WDRC）放大对语音识别的时间提示的影响，并评估这些变化对严重的感觉性听力损失的听众的后果。 第一个具体目的是比较WDRC的语音识别评分与一系列严重的感觉性听力损失的听众中的线性扩增。使用公认的临床参数和在实验室条件下测得的语音识别的主体助听器将适合受试者。我们还将使用功能分析分析辅音误差模式。我们的假设是，与轻度至中度损失的听众相比，与WDRC扩增的差异严重损失的听众的性能要差，并且这些错误模式将表明依赖于时间提示的声音混乱。第二个具体目的是描述WDRC对语音识别必不可少的时间提示的影响。将测量对语音处理以限制光谱信息的识别。放大语音的声学分析将与语​​音识别得分结合使用，以直接检查WDRC的时间提示变形的程度，并确定可接受的振幅压缩范围。拟议的项目还将测试量化振幅包膜变化的效用，以及这些措施的有用性，以预测对WDRC放大语音的识别。第三个具体目的是描述光谱提示感知如何随着压缩通道数量的增加而变化。我们将使用声学分析与元音识别结合使用。我们的假设是，具有严重损失的听众能够区分光谱细节的听众将显示出较大的压缩通道的降解。