Influencing Neutrosophic Factors of Speech Recognition Technology in English Collection

Xizhi Chu, Yuchen Liu

OAI: oai:igi-global.com:295859 • DOI: 10.4018/JCIT.295859

Based on the research and analysis of speech recognition system and neural network principle, combined with English related decision tree, this paper completes the construction and design of English speech recognition based on hybrid frame and series frame neural system network. Combined with relevant information, this paper analyzes the influencing factors of language recognition technology in English collection under neural network. This paper proposes a method of English Corpus collection. Through the speech recognition technology under the neural network, experiments are carried out by using the neural network algorithm, K-means clustering algorithm and HMM / Ann cascade system to analyze the influencing factors of speech recognition technology based on the neural network in English collection. Finally, from the English accent, the amount of speech information make a detailed analysis of the proportion of speech fuzziness, speech speed and environmental interference, so as to draw a conclusion.