A simple algorithm for the restoration of clipped speech signal
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Date
2008
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Abstract
This paper deals with the problem of peak clipped speech. Our basic assumption is that the clipped speech is voiced and can be linearly predicted with a high accuracy. The coefficients of linear prediction are computed using two different algorithms: a least square direct method and a recursive Kalman filter. The speech reconstruction is accomplished using backward prediction
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Keywords
Speech signal, Clipped speech, Restoration, Interpolation, Linear prediction, Least square method, Kalman filter
