仿人耳听觉的助听器双耳声源定位算法

为提高复杂场景下的听障患者的语言理解度,本文提出一种仿人耳听觉的助听器双耳声源定位算法。算法首先借鉴耳蜗分频特性和听觉掩蔽特性,将声音信号进行多通道分解,并提取人耳敏感频带的信号进行双耳时间差(Interaural Time Difference,ITD)估计;然后基于人耳哈斯效应,提取有效的ITD信息;最后采用头相关模型,将ITD转化为声源方向信息。同时,为了改善混响和多干扰声场景下的声源定位能力,本文提出一种多通道的加权联合策略。仿真和场景测试实验表明,算法的抗干扰性强,定位精度高。而且,在7名受试者的理解度测试中,同现有的助听器增强算法相比,结合定位算法的语音增强算法达到3~5dB的性能改善。 

Binaural sound localization with hearing aids based on auditory bionics

In order to improve the language comprehension of hearing-impaired patients under complex scenarios, a binaural sound localization algorithm for hearing aids based on auditory bionics is proposed. Firstly, according to the property of cochlear frequency-division and hearing masking, the sound is divided into multi-channel signals. Tile interaural time differences (ITD) of the sensitive frequency bands are taken as the localization cues. Then, the real ITD is extracted based on the Haas effect. Finally, the HRTF model is used to convert the ITD to the sound position. In order to improve the robustness, a multi-channel weighting combined algorithm is adopted to compute the position of the non-speech signal. From the simulation and scenario experiments, results show that the algorithm has strong anti-interference and high positioning accuracy. Furthermore, in the speech intelligibility test for seven subjects, the proposed speech enhancement algorithm improves 3~5 dB than other algorithms for hearing aids.