Design of intelligent speech recognition control system based on deep learning

With the rapid development of information technology, speech recognition technology has become an important research direction in the field of human-computer interaction. In the field of speech recognition, deep learning technology has gradually replaced the traditional rule-based and statistical methods for its powerful feature extraction and pattern recognition ability. By constructing a deep-level neural network model, deep learning technology can automatically learn the complex features of speech signals and achieve high-precision speech recognition. A design scheme of intelligent speech recognition control system is presented based on deep learning, which improves the adaptability of speech recognition system and realizes automatic recognition and intelligent control of speech instructions through DFCNN+ Transformer model, the response speed and accuracy of the system are improved.