Under the upsurge of artificial intelligence, the development of language recognition system has become inevitable. Now the speech recognition system has been applied to many aspects. However, there have been many difficulties in the recognition of spoken language. The purpose of this paper is to find ways to solve the problems of spoken English recognition system from animals. This paper briefly introduces animal language and spoken language recognition system through literature research and investigation. The influence of animal emotion analysis methods on the accuracy of spoken English recognition was compared through a comparative experiment. Through a questionnaire survey, the support rate of the application scenario of this technology is analyzed. The results show that the accuracy of animal emotion analysis method for male spoken English recognition in fear state has increased by 27%, and for female spoken English recognition in anger state has increased by 29%. At present, the technology corpus has a single language, and the extracted emotional features have great limitations, and there are still many places to be improved. 37% of the people hope that the spoken English recognition system based on animal emotion analysis can be applied to psychological monitoring. The current high-pressure and fast-paced life in society makes many people have psychological problems and their psychological needs will be increasing.

Peiyu Sun and Yue Shi. Animal Application in Oral English Recognition System. Zoology and Animal Physiology (2022), Vol. 3, Issue 2: 43-55. https://doi.org/10.38007/ZAP.2022.030204.

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