Blind audio watermarking mechanism based on variational Bayesian learning
In order to improve the performance of audio watermarking detection,a blind audio watermarking mechanism using the statistical characteristics based on MFCC features of audio frames was proposed.The spread spectrum watermarking was embedded in the DCT coefficients of audio frames.MFCC features extra...
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| Format: | Article |
| Language: | zho |
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Editorial Department of Journal on Communications
2015-01-01
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| Series: | Tongxin xuebao |
| Subjects: | |
| Online Access: | http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2015014/ |
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| _version_ | 1841539642260717568 |
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| author | Xin TANG Zhao-feng MA Xin-xin NIU Yi-xian YANG |
| author_facet | Xin TANG Zhao-feng MA Xin-xin NIU Yi-xian YANG |
| author_sort | Xin TANG |
| collection | DOAJ |
| description | In order to improve the performance of audio watermarking detection,a blind audio watermarking mechanism using the statistical characteristics based on MFCC features of audio frames was proposed.The spread spectrum watermarking was embedded in the DCT coefficients of audio frames.MFCC features extracted from watermarked audio frames as well as un-watermarked ones were trained to establish their Gaussian mixture models and to estimate the parameters by vatiational Bayesian learning method respectively.The watermarking was detected according to the maximum likelihood principle.The experimental results show that our method can lower the false detection rate compared with the method using EM algorithm when the audio signal was under noise and malicious attacks.Also,the experiments show that the proposed method achieves better performance in handling insufficient training data as well as getting rid of over-fitting problem. |
| format | Article |
| id | doaj-art-32fc6671595f42139073cf0a14a9a8c0 |
| institution | Kabale University |
| issn | 1000-436X |
| language | zho |
| publishDate | 2015-01-01 |
| publisher | Editorial Department of Journal on Communications |
| record_format | Article |
| series | Tongxin xuebao |
| spelling | doaj-art-32fc6671595f42139073cf0a14a9a8c02025-01-14T06:45:29ZzhoEditorial Department of Journal on CommunicationsTongxin xuebao1000-436X2015-01-013612112859690044Blind audio watermarking mechanism based on variational Bayesian learningXin TANGZhao-feng MAXin-xin NIUYi-xian YANGIn order to improve the performance of audio watermarking detection,a blind audio watermarking mechanism using the statistical characteristics based on MFCC features of audio frames was proposed.The spread spectrum watermarking was embedded in the DCT coefficients of audio frames.MFCC features extracted from watermarked audio frames as well as un-watermarked ones were trained to establish their Gaussian mixture models and to estimate the parameters by vatiational Bayesian learning method respectively.The watermarking was detected according to the maximum likelihood principle.The experimental results show that our method can lower the false detection rate compared with the method using EM algorithm when the audio signal was under noise and malicious attacks.Also,the experiments show that the proposed method achieves better performance in handling insufficient training data as well as getting rid of over-fitting problem.http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2015014/Gaussian mixture modelaudio watermarkingblind detectionover-fitting |
| spellingShingle | Xin TANG Zhao-feng MA Xin-xin NIU Yi-xian YANG Blind audio watermarking mechanism based on variational Bayesian learning Tongxin xuebao Gaussian mixture model audio watermarking blind detection over-fitting |
| title | Blind audio watermarking mechanism based on variational Bayesian learning |
| title_full | Blind audio watermarking mechanism based on variational Bayesian learning |
| title_fullStr | Blind audio watermarking mechanism based on variational Bayesian learning |
| title_full_unstemmed | Blind audio watermarking mechanism based on variational Bayesian learning |
| title_short | Blind audio watermarking mechanism based on variational Bayesian learning |
| title_sort | blind audio watermarking mechanism based on variational bayesian learning |
| topic | Gaussian mixture model audio watermarking blind detection over-fitting |
| url | http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2015014/ |
| work_keys_str_mv | AT xintang blindaudiowatermarkingmechanismbasedonvariationalbayesianlearning AT zhaofengma blindaudiowatermarkingmechanismbasedonvariationalbayesianlearning AT xinxinniu blindaudiowatermarkingmechanismbasedonvariationalbayesianlearning AT yixianyang blindaudiowatermarkingmechanismbasedonvariationalbayesianlearning |