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Assessing the effects of hearing-aid compression on auditory spectral and temporal resolution using an auditory modeling framework

机译:使用听觉建模框架评估听觉辅助压缩对听觉光谱和时间分辨率的影响

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Sensorineural hearing loss results both in a reduced sensitivity to sound, as well as suprathreshold deficits, such as loudness recruitment and degraded spectral and temporal resolution. To compensate for loudness recruitment, most hearing aids apply level-dependent amplification, such as multi-channel wide dynamic-range compression. However, the most appropriate choice of parameters, such as the time constants and the number of channels, has been controversial. Speech intelligibility has been often considered as an outcome measure and it has been difficult to delineate the effects of hearing-aid signal processing on the representation of signals, due to the complex spectro-temporal structure of speech. In the current study, hearing-aid compensation strategies were evaluated using synthetic stimuli in psychoacoustic experiments with hearing-impaired and normal-hearing listeners. A computational model of the auditory signal processing was used to assess the effects of linear amplification and multi-channel fast-acting compression on spectral and temporal masking. Improvements in the decay of forward masking were predicted with both types of amplification due to the increased audibility. On the other hand, spectral masking was reduced with compression, but not linear amplification, due to the increased signal-to-noise ratio across frequency. The results provide insights into the effects of hearing-aid amplification on basic auditory processing.
机译:传感器内听力损失导致对声音的敏感性降低,以及Suprathreshold缺陷,例如响度招生和劣化的光谱和时间分辨率。为了弥补响度招聘,大多数助听器应用水平依赖的放大,例如多通道宽动态压缩。然而,最适合的参数选择,例如时间常数和渠道数量,这一直存在争议。语音可懂性通常被视为结果措施,由于复杂的语音谱时间结构,难以描绘对助听器信号处理对信号表示的影响。在目前的研究中,使用听力障碍和正常听觉听众的心理声学实验中的合成刺激评估了听力补偿策略。听觉信号处理的计算模型用于评估线性放大和多通道快速压缩对光谱和颞掩模的影响。由于增高的可听性,通过两种类型的放大预测了前向掩蔽的衰减的改进。另一方面,由于跨越频率的信噪比增加,通过压缩而不是线性放大来降低光谱掩模。结果提供了对助剂放大对基本听觉处理的影响的见解。

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