[This article belongs to Volume - 54, Issue - 02]
Gongcheng Kexue Yu Jishu/Advanced Engineering Science
Journal ID : AES-02-12-2022-513

Title : PERFORMANCE ANALYSIS OF SPEECH RECOGNITION USING HMM TECHNIQUE
Dr. Suman Kumar Mishra #1, Digesh Pandey*2, Ashiesh Shukla*3, Dr. Shobhit Shukla *4, Dr. Amit Mishra *5

Abstract :

In the present scenario, performing the task of speech confirmation in relation to the care of speech cues makes this field attractive. There is a problematic effect to the variety of routine components used to achieve confirmation of the accuracy of any speech. HMMs have been used to improve and review inputs to provide this type of speech recognition, which has been brought about as a system for verifying the accuracy of speech inputs as well as developing more. This paper takes the input of speech signals and analyzes their performance in different platforms using HMM process. But many speech signals involve ambiguity, which can affect the continuity of uninterrupted parts. To overcome this type of irregularity, various researchers have proposed different types of techniques in the past, but this paper analyzes the performance on different platforms using HMM technology to improve the regularity of speech signals.