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Use of a compound approach to derive auditory-filter-wide frequency-importance functions for vowels and consonants

机译:使用复合方法导出元音和辅音的全听觉滤波器的频率重要性函数

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摘要

Speech recognition in noise presumably relies on the number and spectral location of available auditory-filter outputs containing a relatively undistorted view of local target signal properties. The purpose of the present study was to estimate the relative weight of each of the 30 auditory-filter wide bands between 80 and 7563 Hz. Because previous approaches were not compatible with this goal, a technique was developed. Similar to the “hole” approach, the weight of a given band was assessed by comparing intelligibility in two conditions differing in only one aspect—the presence or absence of the band of interest. In contrast to the hole approach, however, random gaps were also created in the spectrum. These gaps were introduced to render the auditory system more sensitive to the removal of a single band and their location was randomized to provide a general view of the weight of each band, i.e., irrespective of the location of information elsewhere in the spectrum. Frequency-weighting functions derived using this technique confirmed the main contribution of the 400–2500 Hz frequency region. However, they revealed a complex microstructure, contrasting with the “bell curve” shape typically reported.
机译:噪声中的语音识别大概依赖于可用听觉滤波器输出的数量和频谱位置,该听觉滤波器输出包含本地目标信号属性的相对不失真的视图。本研究的目的是估计80和7563 Hz之间的30个听觉过滤器宽带中每个频带的相对权重。由于先前的方法与该目标不兼容,因此开发了一种技术。与“空洞”方法类似,通过比较仅在一个方面(目标频段的存在与否)两个方面的清晰度,来评估给定频段的权重。但是,与空穴方法相比,在光谱中还会产生随机间隙。引入这些间隙以使听觉系统对单个频带的去除更敏感,并且其位置被随机化以提供每个频带权重的一般视图,即,与频谱中其他地方的信息位置无关。使用该技术得出的频率加权函数证实了400–2500 Hz频率范围的主要贡献。然而,他们发现了复杂的微观结构,与通常报道的“钟形曲线”形状形成了鲜明对比。

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