A new multi-channel loudness compensation method based on high frequency compression and shift for digital hearing aids

Xulai Cao, Linghua Zhang, Wanzhen Gao
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引用次数: 4

Abstract

At the present, multi-channel compensation is used in most of digital hearing aids. But high compensation will decrease hearing comfort, even result in negative impact when attenuation is serious. In order to improve the listening recognition of hearing-impaired patients with severe loss of high-frequency hearing, this paper proposed a new method which uses frequency compression and shift techniques for multi-channel loudness compensation. This method could reduce the negative impact during conventional loudness compensation. Firstly, high frequency portion of voice signal is compressed and shifted to the target frequency band. Then, the signal is divided into four unequal size bands via Quadrature Mirror Filter Bank. According to different hearing-impaired patients, the identity of the signal on each band is compensated and controlled. At last, the processed signal is reconstructed using perfect reconstruction filter banks. By using the proposed method, the identity of the signal is enhanced obviously and the voice is restricted within earshot of the hearing-impaired listeners. The result of the actual test of Ling'6 tone shows that the recognition rate of the voiceless increases 30 percent than conventional method. The experiment and simulation indicate that the proposed method has high practical value and improves hearing level and identification of hearing-impaired listeners, especially for voice with abundant high frequency.
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一种基于高频压缩移位的数字助听器多声道响度补偿方法
目前大多数数字助听器都采用多通道补偿。但高补偿会降低听力舒适度,在衰减严重时甚至会产生负面影响。为了提高重度高频听力丧失的听障患者的听力识别能力,本文提出了一种利用频率压缩和频移技术进行多通道响度补偿的新方法。该方法可以减少传统的响度补偿带来的负面影响。首先,对语音信号的高频部分进行压缩并移至目标频段;然后,通过正交镜像滤波器组将信号分成四个不等大小的频带。根据不同的听障患者,对各波段信号的识别进行补偿和控制。最后,利用完善的重构滤波器组对处理后的信号进行重构。采用该方法可以明显增强信号的识别性,将声音限制在听障听众的听觉范围内。对凌6音的实际测试结果表明,该方法对不清音的识别率比传统方法提高了30%。实验和仿真结果表明,该方法具有较高的实用价值,可以提高听障听众的听力水平和识别能力,特别是对高频丰富的声音识别能力较强。
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