Affiliation:
1. School of Foreign Languages, Chengdu University of Information Technology, Chengdu 610036, China
2. Chengdu Angke Technologies Co., Ltd., Chengdu 610000, China
Abstract
Oral English, as a language tool, is not only an important part of English learning but also an essential part. For nonnative English learners, effective and meaningful voice feedback is very important. At present, most of the traditional recognition and error correction systems for oral English training are still in the theoretical stage. At the same time, the corresponding high-end experimental prototype also has the disadvantages of large and complex system. In the speech recognition technology, the traditional speech recognition technology is not perfect in recognition ability and recognition accuracy, and it relies too much on the recognition of speech content, which is easily affected by the noise environment. Based on this, this paper will develop and design a spoken English assistant pronunciation training system based on Android smartphone platform. Based on the in-depth study and analysis of spoken English speech correction algorithm and speech feedback mechanism, this paper proposes a lip motion judgment algorithm based on ultrasonic detection, which is used to assist the traditional speech recognition algorithm in double feedback judgment. In the feedback mechanism of intelligent speech training, a double benchmark scoring mechanism is introduced to comprehensively evaluate the speech of the speech trainer and correct the speaker’s speech in time. The experimental results show that the speech accuracy of the system reaches 85%, which improves the level of oral English trainers to a certain extent.
Funder
Sichuan Social Science Research Program
Subject
Multidisciplinary,General Computer Science
Reference22 articles.
1. Design of English pronunciation training system for android;X. Y. Liu;Applied Mechanics & Materials,2014
2. Design of Students’ Spoken English Pronunciation Training System Based on Computer VB Platform
3. An intelligent optimization method of motion management system based on BP neural network;T. Li;Neural Computing and Applications,2020
4. Contextual policy enforcement in android applications with permission event graphs;K. Z. Chen;Heredity,2013
5. Training & Evaluation System of Intelligent Oral Phonics Based on Speech Recognition Technology
Cited by
8 articles.
订阅此论文施引文献
订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献
1. The Application of Intelligent Speech Recognition Technology in Japanese Learning System;2023 2nd International Conference on Artificial Intelligence and Intelligent Information Processing (AIIIP);2023-10-27
2. Retracted: Optimization of Intelligent English Pronunciation Training System Based on Android Platform;Complexity;2023-10-04
3. Research on Oral English Learning Platform Based on Intelligent Recognition;2023 International Conference on Electronics and Devices, Computational Science (ICEDCS);2023-09-22
4. Design of English Intelligent Information Teaching System Based on Improved Glr Algorithm;2022 International Conference on Knowledge Engineering and Communication Systems (ICKES);2022-12-28
5. A Model for Evaluating the Quality of English Reading and Pronunciation Based on Computer Speech Recognition;2022 2nd International Conference on Networking, Communications and Information Technology (NetCIT);2022-12