  This paper presents a complete hardware and software pipeline for real-time
speech enhancement in noisy and reverberant conditions. The device consists of
a microphone array and a camera mounted on eyeglasses, connected to an embedded
system that enhances speech and plays back the audio in headphones, with a
latency of maximum 120 msec. The proposed approach relies on face detection,
tracking and verification to enhance the speech of a target speaker using a
beamformer and a postfiltering neural network. Results demonstrate the
feasibility of the approach, and opens the door to the exploration and
validation of a wide range of beamformer and speech enhancement methods for
real-time speech enhancement.
