Research on Force Atlas Dynamic Network Algorithm for Intelligent Speech Recognition Based on Machine Computers

This paper proposes a Force Atlas dynamic network algorithm based on machine-computer intelligent speech recognition. The algorithm uses the Force Atlas algorithm to construct a speech recognition network and combines machine learning technology to real-time adjust and optimize the network. Specifically, the algorithm connects different speech units into a dynamic speech recognition network through feature extraction and pattern recognition of speech signals. On this basis, the Force Atlas algorithm is used to lay out and adjust the network to achieve fast and accurate recognition of voice signals. Experimental results show that the algorithm has a high recognition rate and robustness, and can be effectively applied to the field of machine computer intelligent speech recognition.