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讨论了神经网络技术用于汉语语音信号的端点检测，声、韵母分离，非线性特征抽取和大字表识别的方法、描述了系统实现框图并给出了应用实例。
The methods of neural network technology for endpoint detection of Chinese speech signal, separation of acoustic and vowel, nonlinear feature extraction and identification of large table are discussed. The block diagram of the system is described and the application examples are given.