Auditory attention decoding (AAD) aims to extract from brain activity the attended speaker amidst candidate speakers, offering promising applications for neuro-steered hearing devices and brain-computer interfacing. This pilot study makes a first step towards AAD using the noise-tagging stimulus protocol, which evokes reliable code-modulated evoked potentials, but is minimally explored in the auditory modality. Participants were sequentially presented with two Dutch speech stimuli that were amplitude modulated with a unique binary pseudo-random noise-code, effectively tagging these with additional decodable information. We compared the decoding of unmodulated audio against audio modulated with various modulation depths, and a conventional AAD method against a standard method to decode noise-codes. Our pilot study revealed higher performances for the conventional method with 70 to 100 percent modulation depths compared to unmodulated audio. The noise-code decoder did not further improve these results. These fundamental insights highlight the potential of integrating noise-codes in speech to enhance auditory speaker detection when multiple speakers are presented simultaneously.

这项研究针对听觉注意解码（AAD）使用噪声标记刺激协议进行了初步尝试，通过对未调制音频和不同调制深度的调制音频进行解码比较，发现传统方法在70至100％调制深度时表现更好，并且噪声编码解码器并没有进一步改善结果。这些基本洞见凸显出将噪声编码整合到语音中以增强多个同时讲话者的听觉讲话者检测的潜力。

噪声标记实现听觉注意力解码的初步研究