An adaptive algorithm for speech analysis and synthesis.
Zhong-Xuan Yuan, Boling Xu, Chongzhi Yu, Gonghuan Du · Journal of the Acoustical Society of Japan (E) · 1998
In this paper, an artificial neural net architecture for adaptive speech analysis and synthesis is proposed. Based on discussing the signal analysis procedure with mathematical method, the simulation experiment is performed firstly on a typical signal (a square wave). Compared with Fast Fourier Transform, some important characteristics of the Neural Net Signal Analyzer-Synthesizer (NNSAS) are drawn from the experiment results. Then, NNSAS is used for speech signal processing, which results in a new approach to speech analysis and synthesis. In terms of the auditory masking effect, only some major components of connection strength vector are used to produce synthetic speech. Under the high compressive rate conditions, NNSAS can still produce synthetic speech with high articulation.