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Noise Susceptibility of Cochlear Implant Users: The Role of Spectral Resolution and Smearing

机译:人工耳蜗使用者的噪声敏感性:光谱分辨率和涂片的作用

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摘要

The latest-generation cochlear implant devices provide many deaf patients with good speech recognition in quiet listening conditions. However, speech recognition deteriorates rapidly as the level of background noise increases. Previous studies have shown that, for cochlear implant users, the absence of fine spectro-temporal cues may contribute to poorer performance in noise, especially when the noise is dynamic (e.g., competing speaker or modulated noise). Here we report on sentence recognition by cochlear implant users and by normal-hearing subjects listening to an acoustic simulation of a cochlear implant, in the presence of steady or square-wave modulated speech-shaped noise. Implant users were tested using their everyday, clinically assigned speech processors. In the acoustic simulation, normal-hearing listeners were tested for different degrees of spectral resolution (16, eight, or four channels) and spectral smearing (carrier filter slopes of −24 or −6 dB/octave). For modulated noise, normal-hearing listeners experienced significant release from masking when the original, unprocessed speech was presented (which preserved the spectro-temporal fine structure), while cochlear implant users experienced no release from masking. As the spectral resolution was reduced, normal-hearing listeners’ release from masking gradually diminished. Release from masking was further reduced as the degree of spectral smearing increased. Interestingly, the mean speech recognition thresholds of implant users were very close to those of normal-hearing subjects listening to four-channel spectrally smeared noise-band speech. Also, the best cochlear implant listeners performed like normal-hearing subjects listening to eight- to 16-channel spectrally smeared noise-band speech. These findings suggest that implant users’ susceptibility to noise may be caused by the reduced spectral resolution and the high degree of spectral smearing associated with channel interaction. Efforts to improve the effective number of spectral channels as well as reduce channel interactions may improve implant performance in noise, especially for temporally modulated noise.
机译:最新一代的人工耳蜗设备可在安静的聆听条件下为许多聋哑患者提供良好的语音识别能力。但是,随着背景噪声水平的提高,语音识别迅速恶化。先前的研究表明,对于人工耳蜗的使用者来说,缺少精细的时空提示可能会导致噪声性能变差,尤其是在噪声是动态的情况下(例如竞争性扬声器或调制噪声)。在这里,我们报告在存在稳定或方波调制的语音形噪声的情况下,由人工耳蜗植入物用户和正常听力的受试者通过听人工耳蜗植入物的声学模拟进行的句子识别。植入用户使用日常临床分配的语音处理器进行了测试。在声学模拟中,对正常听力的听众进行了不同程度的频谱分辨率(16,八个或四个通道)和频谱拖尾(载波滤波器斜率为-24或-6 dB /八度音阶)的测试。对于调制噪声,正常听力的听众在呈现原始的未经处理的语音(保留了光谱时的精细结构)时会从掩膜中释放出很多声音,而人工耳蜗的使用者则不会从掩膜中释放出来。随着频谱分辨率的降低,听力正常的听众从遮罩释放的声音逐渐减少。随着频谱拖尾程度的增加,从掩膜的释放进一步减少。有趣的是,植入用户的平均语音识别阈值与听取四通道频谱涂抹的噪声带语音的正常听力受试者的阈值非常接近。而且,最好的人工耳蜗听众的表现就像正常听力的受试者听八到16通道频谱涂抹的噪声带语音一样。这些发现表明,植入物使用者对噪声的敏感性可能是由于降低的光谱分辨率和与通道相互作用相关的高度光谱拖影所引起的。改善频谱通道的有效数量以及减少通道交互作用的努力可能会改善噪声中的植入性能,尤其是对于时间调制的噪声。

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