Transforming English language learning: Advanced speech recognition with MLP-LSTM for personalized education
Speaking of speech recognition within the English language, it is the process of recognizing oral speech and transcribing it into writing using exclusive algorithms. For the perishable skill of English language learning, use of innovative speech recognition technology using Advanced Speech Recogniti...
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| Format: | Article |
| Language: | English |
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Elsevier
2025-01-01
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| Series: | Alexandria Engineering Journal |
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| Online Access: | http://www.sciencedirect.com/science/article/pii/S1110016824012195 |
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| author | Myagmarsuren Orosoo Namjildagva Raash Mark Treve Hassan Fareed M. Lahza Nizal Alshammry Janjhyam Venkata Naga Ramesh Manikandan Rengarajan |
| author_facet | Myagmarsuren Orosoo Namjildagva Raash Mark Treve Hassan Fareed M. Lahza Nizal Alshammry Janjhyam Venkata Naga Ramesh Manikandan Rengarajan |
| author_sort | Myagmarsuren Orosoo |
| collection | DOAJ |
| description | Speaking of speech recognition within the English language, it is the process of recognizing oral speech and transcribing it into writing using exclusive algorithms. For the perishable skill of English language learning, use of innovative speech recognition technology using Advanced Speech Recognition Technologies MLP-LSTM is proposed in this paper to advance the existing online learning platforms. Previous research addresses the importance of NLP in English language learning but notes the challenges in effectively extracting and segmenting features from multimodal data. In order to overcome these problems, this paper incorporate the proposed MLP for feature extraction and LSTM for sequence learning. The utilization of MLP-LSTM provides not only a brilliant improvement of the capacity to transform spoken language and perceive it but also minimizes the Word Error Rate (WER) to 0.075. With this low WER, along with the total accuracy rate of 98.25 %, this paper focus on underlining how this system is more effective than traditional language learning tools. This paper has been implemented through Python Software. The given MLP-LSTM based speech recognition model lays the foundation for a highly complex yet accurate paced English language learning platform that will cater to the needs of the learners in the global scenario. |
| format | Article |
| id | doaj-art-6c7d96eefe9f412fac17108c8928da77 |
| institution | Kabale University |
| issn | 1110-0168 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Alexandria Engineering Journal |
| spelling | doaj-art-6c7d96eefe9f412fac17108c8928da772025-01-18T05:03:39ZengElsevierAlexandria Engineering Journal1110-01682025-01-011112132Transforming English language learning: Advanced speech recognition with MLP-LSTM for personalized educationMyagmarsuren Orosoo0Namjildagva Raash1Mark Treve2Hassan Fareed M. Lahza3Nizal Alshammry4Janjhyam Venkata Naga Ramesh5Manikandan Rengarajan6Mongolian National University of Education, MongoliaMongolian National University of Education, Mongolia; Corresponding authors.⁎Doctorate, Department of School of Languages and General Education, Walailak University, Nakhon Si Thammarat, Thailand; Corresponding authors.Department of Information Systems, College of Computers and Information Systems, Umm Al-Qura University, Makkah 21955, Saudi ArabiaDepartment of Computer Sciences, Faculty of Computing and Information Technology, Northern Border University, Rafha 91431, Saudi ArabiaAdjunct Professor, Department of CSE, Graphic Era Hill University, Dehradun 248002, India; Adjunct Professor, Department of CSE, Graphic Era Deemed To Be University, Dehradun, Uttarakhand 248002, IndiaVel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology, Avadi, Chennai, Tamil Nadu, IndiaSpeaking of speech recognition within the English language, it is the process of recognizing oral speech and transcribing it into writing using exclusive algorithms. For the perishable skill of English language learning, use of innovative speech recognition technology using Advanced Speech Recognition Technologies MLP-LSTM is proposed in this paper to advance the existing online learning platforms. Previous research addresses the importance of NLP in English language learning but notes the challenges in effectively extracting and segmenting features from multimodal data. In order to overcome these problems, this paper incorporate the proposed MLP for feature extraction and LSTM for sequence learning. The utilization of MLP-LSTM provides not only a brilliant improvement of the capacity to transform spoken language and perceive it but also minimizes the Word Error Rate (WER) to 0.075. With this low WER, along with the total accuracy rate of 98.25 %, this paper focus on underlining how this system is more effective than traditional language learning tools. This paper has been implemented through Python Software. The given MLP-LSTM based speech recognition model lays the foundation for a highly complex yet accurate paced English language learning platform that will cater to the needs of the learners in the global scenario.http://www.sciencedirect.com/science/article/pii/S1110016824012195Speech recognitionMultilayer perceptronLong short-term memoryEnglish language learningDeep learning |
| spellingShingle | Myagmarsuren Orosoo Namjildagva Raash Mark Treve Hassan Fareed M. Lahza Nizal Alshammry Janjhyam Venkata Naga Ramesh Manikandan Rengarajan Transforming English language learning: Advanced speech recognition with MLP-LSTM for personalized education Alexandria Engineering Journal Speech recognition Multilayer perceptron Long short-term memory English language learning Deep learning |
| title | Transforming English language learning: Advanced speech recognition with MLP-LSTM for personalized education |
| title_full | Transforming English language learning: Advanced speech recognition with MLP-LSTM for personalized education |
| title_fullStr | Transforming English language learning: Advanced speech recognition with MLP-LSTM for personalized education |
| title_full_unstemmed | Transforming English language learning: Advanced speech recognition with MLP-LSTM for personalized education |
| title_short | Transforming English language learning: Advanced speech recognition with MLP-LSTM for personalized education |
| title_sort | transforming english language learning advanced speech recognition with mlp lstm for personalized education |
| topic | Speech recognition Multilayer perceptron Long short-term memory English language learning Deep learning |
| url | http://www.sciencedirect.com/science/article/pii/S1110016824012195 |
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