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Speech Identification with Temporal and Spectral Modification in Subjects with Auditory Neuropathy

机译:听觉神经病患者的语音识别与时间和频谱的修改。

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摘要

Background. The aim of this study was to investigate the individual effects of envelope enhancement and high-pass filtering (500 Hz) on word identification scores in quiet for individuals with Auditory Neuropathy. Method. Twelve individuals with Auditory Neuropathy (six males and six females) with ages ranging from 12 to 40 years participated in the study. Word identification was assessed using bi-syllabic words in each of three speech processing conditions: unprocessed, envelope-enhanced, and high-pass filtered. All signal processing was carried out using MATLAB-7. Results. Word identification scores showed a mean improvement of 18% with envelope enhanced versus unprocessed speech. No significant improvement was observed with high-pass filtered versus unprocessed speech. Conclusion. These results suggest that the compression/expansion signal processing strategy enhances speech identification scores—at least for mild and moderately impaired individuals with AN. In contrast, simple high-pass filtering (i.e., eliminating the low-frequency content of the signal) does not improve speech perception in quiet for individuals with Auditory Neuropathy.
机译:背景。这项研究的目的是调查在听觉神经病患者安静时,包络增强和高通滤波(500 Hz)对单词识别分数的影响。方法。十二名患有听觉神经病的个体(六名男性和六名女性)年龄在12至40岁之间。在三个语音处理条件(未处理,增强包络和高通滤波)中,使用双音节单词来评估单词识别。所有信号处理均使用MATLAB-7进行。结果。单词识别分数显示,与未处理语音相比,信封包络度提高了18%。与未处理的语音相比,高通滤波后没有观察到明显的改善。结论。这些结果表明,压缩/扩展信号处理策略至少在轻度和中度受损的AN患者中提高了语音识别分数。相反,对于患有听觉神经病的个体而言,简单的高通滤波(即消除信号的低频成分)并不能改善安静时的语音感知。

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