Title: Research and application of spoken English evaluation system based on biological voiceprint feature recognition
Authors: Ying Zhang
Addresses: Normal School, Ya'an Polytechnic College, Yucheng District, Ya'an, Sichuan, China
Abstract: The design of oral English evaluation system based on biological voiceprint feature recognition technology can deal with the shortcomings of speech teaching in traditional computer-aided technology, and can improve the learning interest and learning effect of oral English learners. This time, MFCC method is selected to construct the evaluation model of oral English, which can achieve good speech recognition effect. Through hierarchical recognition strategy, the algorithm mechanism of oral English is further optimised. Through simulation analysis, it can be seen that the proposed system design can objectively reflect the actual oral English level of oral English evaluators, and has good application effect and practical value.
Keywords: biology; voiceprint features; spoken English; MFCC; evaluating.
International Journal of Wireless and Mobile Computing, 2022 Vol.22 No.2, pp.194 - 203
Received: 29 Sep 2021
Accepted: 03 Mar 2022
Published online: 08 Jun 2022 *