利用用户头部方向自动选对准说话人的麦克风信号，提升助听器在嘈杂环境中的语音清晰度。
Head-steered channel selection method for hearing aid applications using remote microphones
- 根据用户头部朝向判断哪个远端麦克风来自正前方，锁定目标说话人
- 在多说话人环境下准确选出目标语音通道，性能优于现有方法
- 无需额外传感器，适合实际助听器场景部署
针对多个竞争说话人场景下助听器使用远端麦克风的通道选择问题，本文提出一种基于用户头部朝向的通道选择方法。该方法将通道选择建模为多重假设检验问题，并推导出最大似然解。在合理简化假设下，最优解为选择与头向波束成形输出具有最高加权平方绝对相关系数的远端通道。通过使用贴近通话的远端麦克风和桌面麦克风阵列进行仿真，在真实声学场景中验证了该方法在无额外传感器条件下，能持续优于现有方法，准确识别出包含目标说话人信号的远端通道。
原文摘要 · Abstract (English)
We propose a channel selection method for hearing aid applications using remote microphones, in the presence of multiple competing talkers. The proposed channel selection method uses the hearing aid user's head-steering direction to identify the remote channel originating from the frontal direction of the hearing aid user, which captures the target talker signal. We pose the channel selection task as a multiple hypothesis testing problem, and derive a maximum likelihood solution. Under realistic, simplifying assumptions, the solution selects the remote channel which has the highest weighted squared absolute correlation coefficient with the output of the head-steered hearing aid beamformer. We analyze the performance of the proposed channel selection method using close-talking remote microphones and table microphone arrays. Through simulations using realistic acoustic scenes, we show that the proposed channel selection method consistently outperforms existing methods in accurately finding the remote channel that captures the target talker signal, in the presence of multiple competing talkers, without the use of any additional sensors.
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