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Smartglasses, in addition to their visual-output capabilities, often containacoustic sensors for receiving the user's voice. However, operation in noisyenvironments may lead to significant degradation of the received signal. Toaddress this issue, we propose employing an acoustic sensor array which ismounted on the eyeglasses frames. The signals from the array are processed byan algorithm with the purpose of acquiring the user's desired near-filed speechsignal while suppressing noise signals originating from the environment. Thearray is comprised of two AVSs which are located at the fore of the glasses'temples. Each AVS consists of four collocated subsensors: one pressure sensor(with an omnidirectional response) and three particle-velocity sensors (withdipole responses) oriented in mutually orthogonal directions. The arrayconfiguration is designed to boost the input power of the desired signal, andto ensure that the characteristics of the noise at the different channels aresufficiently diverse (lending towards more effective noise suppression). Sincechanges in the array's position correspond to the desired speaker's movement,the relative source-receiver position remains unchanged; hence, the need totrack fluctuations of the steering vector is avoided. Conversely, the spatialstatistics of the noise are subject to rapid and abrupt changes due to suddenmovement and rotation of the user's head. Consequently, the algorithm must becapable of rapid adaptation. We propose an algorithm which incorporatesdetection of the desired speech in the time-frequency domain, and employs thisinformation to adaptively update estimates of the noise statistics. Speechdetection plays a key role in ensuring the quality of the output signal. Weconduct controlled measurements of the array in noisy scenarios. The proposedalgorithm preforms favorably with respect to conventional algorithms.

Near-field signal acquisition for smartglasses using two acoustic vector-sensors