摘要
＠周志杰＠胡光锐＠李群ＩｎｔｒｏｄｕｃｔｉｏｎＳｐｅｅｃｈｐｒｏｄｕｃｔｉｏｎｉｓａｃｃｏｍｐｌｉｓｈｅｄｂｙｖａｒｉｏｕｓａｃｏｕｓｔｉｃａｌｅｘｃｉｔａｔｉｏｎｓｏｆｔｈｅｈｕｍａｎｖｏｃａｌｔｒａｃｔ．Ｖｏｉｃｅｄｓｐｅｅｃｈｉｓｇｅｎｅｒａｔｅｄｂ...
A voicing decision algorithm using continuous nonlinear network is discussed. A five dimensional feature vector is used to describe the voicing characteristic of speech segment, and a continuous network is trained with a gradient descent algorithm is served as the voicing decision maker. Computer simulation shows that this algorithm is an outperform way to make voicing decision. The correct rate of this method reaches 97.8%.
