遗传神经网络在语音识别中的应用研究

Research of Speech Recognition Based on Genetic Neural Network

针对语音识别的特点，对BP神经网络在语音识别技术中的应用进行了探索性研究，进而结合人工智能领域较为有效的方法——遗传（GA）算法，针对传统BP算法识别准确率高但训练速度慢的缺点，对BP网络进行改进，构建了一种基于遗传神经网络的语音识别算法（GABP），并建立相应的语音识别系统。仿真实验表明，该算法有效地缩短了识别时间，提高了网络训练速度和语音的识别率。

This Paper mainly studies the application of the BP neural network in the research of speech recognition. BP neural network can get higher identification precision, but its training speed is very low. a new recognizing algorithm based on BP algorithm by combining with the good effect method in ANN which named genetic algorithm （GA） was proposed and used to improve the BP neural network . Experiment results show that the training speed can be accelerated by the method and the recognition performance is also promoted.