High-roubustness keystroke recognition method based on acoustic spatial gradient
For the fluctuation of CFCC caused by environmental noise is the main reason for the low accuracy of keystroke detection,the spatial characteristics of adjacent between CFCC were studied,and the spatial gradient structure of CFCC based on points was established.On this basis,the effect of CFCC spati...
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| Format: | Article |
| Language: | zho |
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Editorial Department of Journal on Communications
2020-05-01
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| Series: | Tongxin xuebao |
| Subjects: | |
| Online Access: | http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2020095/ |
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| _version_ | 1841539347679019008 |
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| author | Ying LIU Kangkang HAN Zhihong QIAN |
| author_facet | Ying LIU Kangkang HAN Zhihong QIAN |
| author_sort | Ying LIU |
| collection | DOAJ |
| description | For the fluctuation of CFCC caused by environmental noise is the main reason for the low accuracy of keystroke detection,the spatial characteristics of adjacent between CFCC were studied,and the spatial gradient structure of CFCC based on points was established.On this basis,the effect of CFCC spatial gradient on keystroke content recognition and the selection of precise neighborhood points were studied on training and testing.Finally,a high-robustness keystroke recognition algorithm based on acoustic signals was constructed.Extensive experiments in different environments demonstrate that the proposed CFCC spatial gradient sound feature achieves great performance and the recognition accuracy is 96.15%. |
| format | Article |
| id | doaj-art-591113a46ded405aabde5eb706810249 |
| institution | Kabale University |
| issn | 1000-436X |
| language | zho |
| publishDate | 2020-05-01 |
| publisher | Editorial Department of Journal on Communications |
| record_format | Article |
| series | Tongxin xuebao |
| spelling | doaj-art-591113a46ded405aabde5eb7068102492025-01-14T07:19:17ZzhoEditorial Department of Journal on CommunicationsTongxin xuebao1000-436X2020-05-01419610359735400High-roubustness keystroke recognition method based on acoustic spatial gradientYing LIUKangkang HANZhihong QIANFor the fluctuation of CFCC caused by environmental noise is the main reason for the low accuracy of keystroke detection,the spatial characteristics of adjacent between CFCC were studied,and the spatial gradient structure of CFCC based on points was established.On this basis,the effect of CFCC spatial gradient on keystroke content recognition and the selection of precise neighborhood points were studied on training and testing.Finally,a high-robustness keystroke recognition algorithm based on acoustic signals was constructed.Extensive experiments in different environments demonstrate that the proposed CFCC spatial gradient sound feature achieves great performance and the recognition accuracy is 96.15%.http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2020095/keystroke detectionacoustic recognitionCFCC spatial gradientneural network |
| spellingShingle | Ying LIU Kangkang HAN Zhihong QIAN High-roubustness keystroke recognition method based on acoustic spatial gradient Tongxin xuebao keystroke detection acoustic recognition CFCC spatial gradient neural network |
| title | High-roubustness keystroke recognition method based on acoustic spatial gradient |
| title_full | High-roubustness keystroke recognition method based on acoustic spatial gradient |
| title_fullStr | High-roubustness keystroke recognition method based on acoustic spatial gradient |
| title_full_unstemmed | High-roubustness keystroke recognition method based on acoustic spatial gradient |
| title_short | High-roubustness keystroke recognition method based on acoustic spatial gradient |
| title_sort | high roubustness keystroke recognition method based on acoustic spatial gradient |
| topic | keystroke detection acoustic recognition CFCC spatial gradient neural network |
| url | http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2020095/ |
| work_keys_str_mv | AT yingliu highroubustnesskeystrokerecognitionmethodbasedonacousticspatialgradient AT kangkanghan highroubustnesskeystrokerecognitionmethodbasedonacousticspatialgradient AT zhihongqian highroubustnesskeystrokerecognitionmethodbasedonacousticspatialgradient |