| Autor: |
Takahiro Shinozaki, Ekachai Phaisangittisagul, Phondanai Khanti, Jessada Kamjana |
| Rok vydání: |
2021 |
| Předmět: |
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| Zdroj: |
2021 18th International Conference on Electrical Engineering/Electronics, Computer, Telecommunications and Information Technology (ECTI-CON). |
| DOI: |
10.1109/ecti-con51831.2021.9454804 |
| Popis: |
This paper proposed an audio information hiding framework based on singular spectrum analysis (SSA) and psychoacoustic principles. The host signal is analyzed and de-composed by singular spectrum analysis to obtain oscillatory components. Some psychoacoustic principles are used to group these components into two sub-signals: audible and less-audible sub-signals. Only the less-audible sub-signal is used to hide a watermark. In order to hide a watermark bit, the singular spectrum of the matrix that represents the less-audible sub- signal is changed slightly with respect to an embedding rule. In this work, a new method for mapping between frequencies and singular-value indices, based on a recommendation by the psychoacoustic model is proposed to improve the inaudibility property. In addition, a frame selection method that selects frames to be embedded is included in the improved scheme to increase the extraction precision. The performance of the proposed method is evaluated in terms of inaudibility and robustness. The experimental results show that the proposed scheme has significant improvement in the sound quality of the watermarked signal and the robustness, i.e., the sound quality and the robustness are improved by approximately 34.07% and 6.09%, respectively, compared with the previously proposed method. |
| Databáze: |
OpenAIRE |
| Externí odkaz: |
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