Abstract
Previous work has shown that it is possible to train a multi-layer perceptron to estimate the voice fundamental period ( Tx) for multiple speakers in the presence of high levels of background noise. The algorithm has been implemented in real-time on a TMS320C25 based development system. A prototype pocket-sized portable device has been constructed and the real-time software transferred to it. This will provide the basis for a new generation of signal processing hearing aids for the profoundly and totally deaf. Power supply current is sufficiently low for battery operation for periods of 12 hours between charges. The basic algorithm has been adapted to provide the higher time resolution which will make it applicable to a wide range of other applications.
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