Optimization of Intelligent English Pronunciation Training System Based on Android Platform
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 tra...
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| Format: | Article |
| Language: | English |
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Wiley
2021-01-01
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| Series: | Complexity |
| Online Access: | http://dx.doi.org/10.1155/2021/5537101 |
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| author | Qianyu Cao Hanmei Hao |
| author_facet | Qianyu Cao Hanmei Hao |
| author_sort | Qianyu Cao |
| collection | DOAJ |
| description | 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. |
| format | Article |
| id | doaj-art-dc8be3666871405db9d2d4741ca8c116 |
| institution | OA Journals |
| issn | 1076-2787 1099-0526 |
| language | English |
| publishDate | 2021-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Complexity |
| spelling | doaj-art-dc8be3666871405db9d2d4741ca8c1162025-08-20T02:21:37ZengWileyComplexity1076-27871099-05262021-01-01202110.1155/2021/55371015537101Optimization of Intelligent English Pronunciation Training System Based on Android PlatformQianyu Cao0Hanmei Hao1School of Foreign Languages, Chengdu University of Information Technology, Chengdu 610036, ChinaChengdu Angke Technologies Co., Ltd., Chengdu 610000, ChinaOral 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.http://dx.doi.org/10.1155/2021/5537101 |
| spellingShingle | Qianyu Cao Hanmei Hao Optimization of Intelligent English Pronunciation Training System Based on Android Platform Complexity |
| title | Optimization of Intelligent English Pronunciation Training System Based on Android Platform |
| title_full | Optimization of Intelligent English Pronunciation Training System Based on Android Platform |
| title_fullStr | Optimization of Intelligent English Pronunciation Training System Based on Android Platform |
| title_full_unstemmed | Optimization of Intelligent English Pronunciation Training System Based on Android Platform |
| title_short | Optimization of Intelligent English Pronunciation Training System Based on Android Platform |
| title_sort | optimization of intelligent english pronunciation training system based on android platform |
| url | http://dx.doi.org/10.1155/2021/5537101 |
| work_keys_str_mv | AT qianyucao optimizationofintelligentenglishpronunciationtrainingsystembasedonandroidplatform AT hanmeihao optimizationofintelligentenglishpronunciationtrainingsystembasedonandroidplatform |