Integrate deep neural network and support vector machine to improve the quality of voice processing in Internet of Things devices
Along with the development of science and technology, especially internet of things (IOT), IOT-related products increasingly contribute to improving people’s life. Among those products, it is impossible not to mention smarts city, internet of Vehicle devices and especially smart home, which are usua...
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| Format: | Article |
| Language: | English |
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Trường Đại học Vinh
2023-03-01
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| Series: | Tạp chí Khoa học |
| Subjects: | |
| Online Access: | https://vujs.vn/api/view.aspx?cid=015cfb6b-8f67-4fc2-8828-9fdd8ba8e616 |
| _version_ | 1797867194536689664 |
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| author | NGUYEN Nang An TRAN Thanh Trung TRAN Kim Hoan NGUYEN Tuan Anh PHAM Minh Doanh |
| author_facet | NGUYEN Nang An TRAN Thanh Trung TRAN Kim Hoan NGUYEN Tuan Anh PHAM Minh Doanh |
| author_sort | NGUYEN Nang An |
| collection | DOAJ |
| description | Along with the development of science and technology, especially internet of things (IOT), IOT-related products increasingly contribute to improving people’s life. Among those products, it is impossible not to mention smarts city, internet of Vehicle devices and especially smart home, which are usually voice controlled. Therefore, voice processing technology is also in need of improvement. The article mainly focuses on processing human voice independently of text. In particular, Convolutional network (CNN) and Support Vector Machine (SVM) will be integrated to create Feature Building Machine. SVMs are often used in voice and image classification, which accordingly is a critical and swift data sorter. The article analyzes the advantages of the combination Deep Neural Network (DNN) and SVMs in voice recognition and is the foundation to develop devices for smart home. The experimental results, which was used in the standard Voxceleb database, demonstrate the superiority in sound recognition compared to traditional i-vector methods or other CNN methods. |
| first_indexed | 2024-04-09T23:36:26Z |
| format | Article |
| id | doaj.art-a5adf6b978194d04a13d0fa3db5e63f0 |
| institution | Directory Open Access Journal |
| issn | 1859-2228 |
| language | English |
| last_indexed | 2024-04-09T23:36:26Z |
| publishDate | 2023-03-01 |
| publisher | Trường Đại học Vinh |
| record_format | Article |
| series | Tạp chí Khoa học |
| spelling | doaj.art-a5adf6b978194d04a13d0fa3db5e63f02023-03-20T09:37:28ZengTrường Đại học VinhTạp chí Khoa học1859-22282023-03-01521A51610.56824/vujs.2023a005Integrate deep neural network and support vector machine to improve the quality of voice processing in Internet of Things devicesNGUYEN Nang An0TRAN Thanh Trung1TRAN Kim Hoan2NGUYEN Tuan Anh3PHAM Minh Doanh4Hanoi National University of Education 2, VietnamHanoi National University of Education 2, VietnamHanoi National University of Education 2, VietnamHanoi National University of Education 2, VietnamHanoi National University of Education 2, VietnamAlong with the development of science and technology, especially internet of things (IOT), IOT-related products increasingly contribute to improving people’s life. Among those products, it is impossible not to mention smarts city, internet of Vehicle devices and especially smart home, which are usually voice controlled. Therefore, voice processing technology is also in need of improvement. The article mainly focuses on processing human voice independently of text. In particular, Convolutional network (CNN) and Support Vector Machine (SVM) will be integrated to create Feature Building Machine. SVMs are often used in voice and image classification, which accordingly is a critical and swift data sorter. The article analyzes the advantages of the combination Deep Neural Network (DNN) and SVMs in voice recognition and is the foundation to develop devices for smart home. The experimental results, which was used in the standard Voxceleb database, demonstrate the superiority in sound recognition compared to traditional i-vector methods or other CNN methods.https://vujs.vn/api/view.aspx?cid=015cfb6b-8f67-4fc2-8828-9fdd8ba8e616deep learningvoice recongnitioni-vectorinternet of thing |
| spellingShingle | NGUYEN Nang An TRAN Thanh Trung TRAN Kim Hoan NGUYEN Tuan Anh PHAM Minh Doanh Integrate deep neural network and support vector machine to improve the quality of voice processing in Internet of Things devices Tạp chí Khoa học deep learning voice recongnition i-vector internet of thing |
| title | Integrate deep neural network and support vector machine to improve the quality of voice processing in Internet of Things devices |
| title_full | Integrate deep neural network and support vector machine to improve the quality of voice processing in Internet of Things devices |
| title_fullStr | Integrate deep neural network and support vector machine to improve the quality of voice processing in Internet of Things devices |
| title_full_unstemmed | Integrate deep neural network and support vector machine to improve the quality of voice processing in Internet of Things devices |
| title_short | Integrate deep neural network and support vector machine to improve the quality of voice processing in Internet of Things devices |
| title_sort | integrate deep neural network and support vector machine to improve the quality of voice processing in internet of things devices |
| topic | deep learning voice recongnition i-vector internet of thing |
| url | https://vujs.vn/api/view.aspx?cid=015cfb6b-8f67-4fc2-8828-9fdd8ba8e616 |
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