噪声与共振环境下的数字助听器鲁棒声源定位法

提出了一种噪声与共振环境下的数字助听器鲁棒声源定位方法，该方法基于房间共振模型和多通道自适应特征值分解算法，利用自适应次梯度投影方法迭代地估计声源至各麦克风的脉冲响应系数，从而获得各麦克风对的时延差，并利用几何方法计算声源位置。针对眼镜数字助听器四元麦克风方阵的仿真表明，所提出的自适应次梯度投影方法在强噪声环境中的鲁棒性和定位精度优于传统NLMS算法。

ROBUST ACOUSTIC SOURCE LOCALIZATION FOR DIGITAL HEARING AIDS IN NOISE AND REVERBERANT ENVIRONMENT

A new method in digital hearing aids to adaptively localize the speech source in noise and reverberant environment is proposed. Based on the room reverberant model and the multichannel adaptive eigenvalue decomposition (MCAED) algorithm, the proposed method can iteratively estimate impulse response coefficients between the speech source and microphones by the adaptive subgradient projection method. Then, it acquires the time delays of microphone pairs, and calculates the source position by the geometric method. Compared with the traditional normal least mean square (NLMS) algorithm, the adaptive subgradient projection method achieves faster and more accurate convergence in a low signal-to-noise ratio (SNR) environment. Simulations for glasses digital hearing aids with four-component square array demonstrate the robust performance of the proposed method.