ABSTRACT
Contemporary hearing aids are markedlylimited in their most important role: improving speech perception in dynamic "cocktail party" environments with multiple, competing talkers. Here we describe an open-source, mobile assistive hearing platform entitled "Cochlearity" which uses eye gaze to guide an acoustic beamformer, so a listener will hear best wherever they look. Cochlearity runs on Android and its eight-channel microphone array can be worn comfortably on the head, e.g. mounted on eyeglasses. In this preliminary report, we examine the efficacy of both a static (delay-and-sum) and an adaptive (MVDR) beamformer in the task of separating an "attended" voice from an "unattended" voice in a two-talker scenario. We show that the different beamformers have the potential to complement each other to improve target speech SNR (signal to noise ratio), across the range of speech power, with tolerably low latency.
