Abstract

After total laryngectomy the normal voice can be replaced by an electronic artificial larynx (AL). However, the results of the surrogate voice are not overall satisfying due to a robotic clattered sound of that prosthesis. In this paper the outcome of a sound investigation for an AL is presented. This work is part of our AL research project on laryngectomee speech enhancement. As a result, an autoregressive model of the hearing process is derived that can directly be used for a novel speech-enhancement procedure. The model is derived in the framework of linear prediction theory based on the fact that speech can be modelled as the output of a linear filter excited by a periodic pulse train and random noise. Additionally, we developed an innovative training unit for novice laryngectomees measuring the relative inter-line energy of the speech.

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