音声の分析・合成のための適応アルゴリズム

概要

論文の詳細を見る
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.
社団法人日本音響学会の論文