深度学习神经网络在语音识别中的应用

Learning Neural Network Application in Speech Recognition Deeply

近年来,随着我国科学技术的不断深入与发展,神经网络逐渐与语音识别技术联系的越来越密切。在传统的语音识别技术中,模板匹配法是其主要的操作方法,而在现代的语音识别技术中,神经网络已成为主要的发展趋势。神经网络技术主要模拟了人类的神经元活动原理,将人类所特有的自主学习、想象能力综合到了语音识别系统中,为语音识别的发展开辟了一条新的途径。本文我们将综合具体事例简要分析深度学习神经网络与语音识别系统的结合。

in recent years, along with the deepening and development of China＇s science and technology, neural network is gradually more and more closely associated with speech recognition technology. In the traditional speech recognition technology, template matching method is the main operation method, and in the modern voice recognition technology, neural network has become the main trend of the development of. Neural network technology is mainly simulates human neuron activity principle, will be unique to human ability of autonomous learning, imagination to the speech recognition system, for the development of speech recognition has opened up a new way. Comprehensive the brief analysis of specific examples in this article, we will deep learning neural network with the combination of speech recognition system.