An Acoustic Recognition Model for English Speech Based on Improved HMM Algorithm
Ting Wu · 2019
This paper presents an English speech recognition system based on the improved HMM model. Firstly, this paper integrates the process including speech acoustic analysis, acoustic HMM model establishment and recognition through the analysis of the system framework and implementation of continuous speech recognition system. To enable HMM to assume that the time distribution of continuous segments obeys geometric distribution and its real distribution law is not consistent, we adopt HMM-based segment distribution to describe the time correlation of speech signals more accurately. The experiments show that the algorithm improves the recognition rate and shows better adaptability. Therefore, the recognition ability of acoustic target recognition system can also be effectively improved.