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Individual Variability in Recognition of Frequency-Lowered Speech

机译:降低频率的语音识别中的个体差异

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Frequency lowering in hearing aids is not a new concept, but modern advances in technology have allowed it to be performed more efficiently and on select portions of the spectrum. Nonlinear frequency compression reduces the frequency spacing in a band of high-frequency energy so that more information is carried in the audible bandwidth. Frequency transposition and translation techniques lower only the part of the high-frequency spectrum that likely contains important speech information. These advances may help overcome the limited bandwidth in conventional hearing aids, which restrict access to high-frequency information even for those with mild to moderate hearing loss. This is especially important for young children learning speech and language. A framework is advanced in which factors that influence individual differences in speech recognition can be divided into extrinsic factors that affect the representation of the frequency-lowered speech at the auditory periphery, including the specific technique and the settings chosen for it, and intrinsic factors that contribute to an individual's ability to learn and benefit from this signal. Finally, the importance of electroacoustically verifying the output to avoid too little or too much lowering and the importance of validating effectiveness of outcomes in individual users of the technology are emphasized.
机译:助听器中的降频并不是一个新概念,但是现代技术的进步已使其能够在频谱的选定部分上更有效地执行。非线性频率压缩可减少高频能量频带中的频率间隔,以便在可听带宽中携带更多信息。频率转换和翻译技术仅降低了可能包含重要语音信息的高频频谱部分。这些进步可以帮助克服传统助听器的有限带宽,传统助听器即使对于轻度至中度听力损失的人,也限制了对高频信息的访问。这对于幼儿学习语音和语言尤为重要。提出了一个框架,其中,影响语音识别中个体差异的因素可以分为影响听觉外围的降频语音表示的外在因素,包括特定的技术和为其选择的设置以及内在因素。有助于个人学习该信号并从中受益的能力。最后,强调了电声验证输出以避免太少或太多降低的重要性,并且强调了在技术的单个用户中验证结果有效性的重要性。

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