Development and Evaluation of On/Off Control for Electrolaryngeal Speech Via Artificial Neural Network Based on Visual Information of Lips

The ANN method was proved feasible and effective for switch identification based on visual information of lips. The ANN-EL could provide an accurate on/off control for fluent Mandarin speech.