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Contactless Hearing Aid for Infants Employing Signal Processing Algorithms
The proposed contactless hearing aid is designated to be attached to the infant’s crib for sound amplification in a free field. It consists of 4 electret microphone matrix, and a prototype DSP board. The compressed speech is transmitted and amplified via miniature loudspeakers. Algorithms that are worked out deal with parasitic feedback, which occurs due to the small distance between microphone and monitors and potentially high amplification required. The beamforming algorithm is based on an artificial neural network (ANN). The ANN is used as a nonlinear filter in the frequency domain. Principles of algorithms engineered and the prototype DSP unit design are presented in the paper. Also, results of experiments simulating the real-life conditions are analysed and discussed.
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