标题： 软约束空间选择性主动噪声控制用于开放式耳机 显示英文标题

标题： Soft-Constrained Spatially Selective Active Noise Control for Open-fitting Hearables

摘要： 近年来，使用多个麦克风的时空选择性主动降噪（SSANC）的进展使得耳戴设备能够在抑制不需要的噪声的同时，保留来自特定方向的所需语音。 旨在实现最小的语音失真，先前的研究在优化问题中使用了硬约束来计算控制滤波器。 在本工作中，我们提出了一种软约束的SSANC系统，该系统使用一个与频率无关的参数，在语音失真和噪声降低之间进行权衡。 我们推导了时域和频域的公式，并表明传统的主动降噪和硬约束的SSANC是所提出设计的两个极限情况。 我们通过仿真评估了系统，在一个无回声环境中使用一对开放式佩戴的耳戴设备，有一个语音源和两个噪声源。 仿真结果验证了理论推导，并表明对于广泛范围的权衡参数，与硬约束设计相比，信噪比以及以PESQ和ESTOI表示的语音质量和可懂度可以得到显著提高。 显示英文摘要

摘要： Recent advances in spatially selective active noise control (SSANC) using multiple microphones have enabled hearables to suppress undesired noise while preserving desired speech from a specific direction. Aiming to achieve minimal speech distortion, a hard constraint has been used in previous work in the optimization problem to compute the control filter. In this work, we propose a soft-constrained SSANC system that uses a frequency-independent parameter to trade off between speech distortion and noise reduction. We derive both time- and frequency-domain formulations, and show that conventional active noise control and hard-constrained SSANC represent two limiting cases of the proposed design. We evaluate the system through simulations using a pair of open-fitting hearables in an anechoic environment with one speech source and two noise sources. The simulation results validate the theoretical derivations and demonstrate that for a broad range of the trade-off parameter, the signal-to-noise ratio and the speech quality and intelligibility in terms of PESQ and ESTOI can be substantially improved compared to the hard-constrained design.