小波包分析减少频谱掩蔽的影响,提高听觉感知

P. Dhulekar, S. Nalbalwar, J. Chopade
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引用次数: 1

摘要

感音神经性听力障碍患者由于沿耳蜗隔的频谱掩蔽增加,耳朵的频率选择性下降,导致语音感知下降。利用具有不同小波函数的小波包,在每个分解层对语音信号进行滤波和下采样,从而减少频谱掩蔽的影响,从而提高语音的可理解性。这个实验是用15个英语辅音的元音-辅音-元音音节进行的;它们被分解为八个频带,并有所需的频带选择。对处理后的语音信号进行二分表示,在接收语音、位置和方式等语音特征时,语音质量、识别分数和响应时间都有所提高,表明该方案能够更好地接收频谱特征。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Wavelet packet analysis for reducing the effect of spectral masking to improve auditory perception
Sensorineural hearing impaired person experiences degraded frequency selectivity of the ear, due to increase in spectral masking along the cochlear partition, results in degraded speech perception. Splitting the speech signal by means of filtering and down sampling at each decomposition level, using wavelet packets with different wavelet functions, helps to reduce the effect of spectral masking, through which it improve speech intelligibility. This experiment was carried out with vowel-consonant-vowel syllables for fifteen English consonants; they are decomposed in eight frequency bands with desired band selection. Dichotic presentation of the processed speech signal showed improvement in speech quality, recognition scores and less response time in the reception of speech feature of voicing, place, and manner, indicating usefulness of the scheme for better reception of spectral characteristics.
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