北京生物医学工程

噪声环境下基于信噪比的多通道自适应频响补偿算法

Multichannel adaptive loudness compensation algorithm based on signal-to-noise ratio in noise environment

作者：李如玮张永亚潘冬梅杨登才

单位：北京工业大学信息学部信息与通信工程学院（北京 100124）<p>北京工业大学科学技术发展院（北京100124）</p>

关键词： Gammatone滤波器；多通道；信噪比；自适应频响补偿；声压级；听力曲线

分类号：R318.04

出版年·卷·期（页码）：2019·38·1（42-51）

摘要：

目的针对数字助听器中现有的频响补偿算法在噪声环境下无法满足耳障者对语音质量和可懂度要求的问题，本文提出了基于信噪比的多通道自适应频响补偿算法。方法该算法首先采用Gammatone滤波器组对含噪语音进行子带分解，对各子带采用二值掩蔽方法去噪，在不损伤语音的同时尽可能去除各子带内的噪声；然后在各子带估计其信噪比以及增益；再利用信噪比自适应地调整线性放大和宽动态压缩在频响补偿中所占的权重，并且在高频语音部分采用基于非线性频率压缩的宽动态压缩算法；最后根据正常人和耳障者听力曲线以及信噪比对各子带进行自适应频响补偿，通过对语音的LPA估计以及对耳障者的主观测试比较本文算法与对比算法的优越性。结果本文算法对每个子带的语音信号实现了自适应频响补偿，相较于对比算法，本文算法在噪声环境下不仅较好地保护了语音的共振峰结构和谱包络，而且使语音的声压级在耳障者的听力舒适阈内得到了较多的补偿，有效地补偿了患者损失的听力，提高了耳障者的言语可懂度。结论噪声环境下基于信噪比的多通道频响补偿算法优于对比算法，有效提高了听障患者感知语音的可懂度和舒适度。

Objective Aiming at the problem that the existing loudness compensation algorithm in digital hearing aids can not meet the requirement of the ear impaired for speech quality and intelligibility in noise environment, we propose a multichannel adaptive loudness compensation algorithm based on signal-to-noise ratio in this paper. Methods Firstly, noisy signal was divided into multi-subband by Gammatone filter banks, and noise reduction was performed by binary masking without damaging the speech in each band.Then, we calculated the signal-to-noise ratio and gain of each band, and adjust the weight of linear amplification and wide dynamic compression in loudness compensation according to the signal-to-noise ratio adaptively. During this process ,a wide dynamic compression algorithm based on nonlinear frequency compression was adopted in the high frequency of speech. Finally,a adaptive loudness compensation was implemented in each band according to the hearing curve of normal human and hearing impaired patients and signal-to-noise ratio.Comparing the superiority of the proposed algorithm with the contrast algorithm by estimating the LPA spectrum of speech and subjective testing of the hearing impaired patients. Results The proposed algorithm implemented adaptive loudness compensation for the speech signal of each band,compared with the contrast algorithm,the proposed algorithm not only protected the formant structure and spectral envelope of speech in noise environment , and make the sound pressure level of speech compensated more in the hearing comfort threshold of hearing impaired patients,compensated the missing hearing effectively,improved the speech intelligibility. Conclusion The proposed method is superior to the contrast algorithm，it can effectively improve the auditory perception and comfort of hearing loss in noisy environment.

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