Identification and Synthesis of Speech Signal Using Multi-Mother Wavelet.

Abstract

In production and management of various plants, it is important to provide an effective human-machine interface for communication between human and machine system. Of all communication approaches human speech signal is the most natural and effective. To compose the human-machine interface of the speech, it is necessary to develop a method with high accuracy and high quality for identification and synthesis of the speech. In this paper, a new approach for speech identification and synthesis using multi-mother wavelet is presented. The optimum mother wavelet can be searched by using multi-mother wavelet method for the speech identification and synthesis. Through the case study, it is concluded that the efficient speech identification and synthesis can be realized by the proposed approach. In future the presented speech identification and synthesis technology is expected to be applied to various cases such as plant production process and control.