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完整後設資料紀錄
DC 欄位 | 值 | 語言 |
---|---|---|
dc.contributor.advisor | 張智星 | |
dc.contributor.author | Pei-Hung Chen | en |
dc.contributor.author | 陳培泓 | zh_TW |
dc.date.accessioned | 2021-06-15T12:57:33Z | - |
dc.date.available | 2021-07-26 | |
dc.date.copyright | 2016-07-26 | |
dc.date.issued | 2016 | |
dc.date.submitted | 2016-07-14 | |
dc.identifier.citation | [1] Chen, P. W., Huang, C. H., Shen, Y. C., & Wu, J. L. (2009, April). Pushing information over acoustic channels. In Acoustics, Speech and Signal Processing, 2009. ICASSP 2009. IEEE International Conference on (pp. 1421-1424). IEEE.
[2] Huang, C. H., Chen, P. W., Hsieh P. Y., and Wu, J. L., 2007. Information Delivery systems for Car Passengers without Networking Capabilities. In Proceedings of the Pacific-Rim Conference on Multimedia (December 11-14, 2007 in Hong Kong, China) [3] Swanson, M. D., Zhu, B., Tewfik, A. H., & Boney, L. (1998). Robust audio watermarking using perceptual masking. Signal Processing, 66(3), 337-355. [4] Bassia, P., Pitas, I., & Nikolaidis, N. (2001). Robust audio watermarking in the time domain. Multimedia, IEEE Transactions on, 3(2), 232-241. [5] Tachibana, R. (2003, June). Audio watermarking for live performance. InProceedings of SPIE (Vol. 5020, pp. 32-43). [6] Tachibana, R. (2004). Sonic watermarking. EURASIP Journal on Applied Signal Processing, 2004, 1955-1964. [7] Nakashima, Y., Tachibana, R., Nishimura, M., & Babaguchi, N. (2006, September). Estimation of recording location using audio watermarking. InProceedings of the 8th workshop on Multimedia and security (pp. 108-113). ACM. [8] Lazic, N., & Aarabi, P. (2006). Communication over an acoustic channel using data hiding techniques. Multimedia, IEEE Transactions on, 8(5), 918-924. [9] Bender, W., Gruhl, D., Morimoto, N., & Lu, A. (1996). Techniques for data hiding. IBM systems journal, 35(3.4), 313-336. [10] Dutta, P., Bhattacharyya, D., & Kim, T. H. (2009). Data hiding in audio signal: A review. International journal of database theory and application, 2(2), 1-8. [11] Zhang, X., Chang, D., Yang, W., Huang, Q., Guo, W., & Zhao, Y. (2011, July). An audio digital watermarking algorithm transmitted via air channel in double DCT domain. In Multimedia Technology (ICMT), 2011 International Conference on (pp. 2926-2930). IEEE. [12] Sweeney, P. (1991). Error control coding. Prentice Hall UK. [13] Costello, D. J., Hagenauer, J., Imai, H., & Wicker, S. B. (2004). Error control coding. In Fundamentals and Applications, Printice Hall, Upper Saddle River, NJ. [14] Wicker, S. B., & Bhargava, V. K. (Eds.). (1999). Reed-Solomon codes and their applications. John Wiley & Sons. [15] “URL shortening,” n.d., in Wikipedia, Retrieved July 11, 2014, from http://en.wikipedia.org/wiki/URL_shortening [16] Thiemann, J., Ito, N., & Vincent, E. (2013). The diverse environments multi-channel acoustic noise database: A database of multichannel environmental noise recordings. The Journal of the Acoustical Society of America, 133(5), 3591-3591. [17] Bernard Sklar, “Digital Communications: Fundamentals and Applications 2nd Ed”, Prentice Hall 2001 | |
dc.identifier.uri | http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/50773 | - |
dc.description.abstract | 音訊浮水印是一種把短網址或是版權等其他資訊嵌入至音訊資料中的一種技術,由於是屬於破壞性嵌入,所以在音質上的品質需要有一定的強健性,也就是噪音不能太過明顯。為了維持原音訊的音質,被嵌入的資料在透過喇叭等播放器播出時是不能被人耳聽覺所感知到的,因此本篇論文會依照人耳聽覺遮蔽效應來使得人耳不易察覺此噪音的發生位置。再來本篇論文是利用離散餘弦轉換以及展頻調變的方法,將浮水印嵌入到音樂訊號之中,但是容易受到與喇叭之間的距離,以及麥克風的擺放方式影響到浮水印的還原成功率。為了增加浮水印的還原成功率,在嘗試過加入錯誤更正碼以及投票後,在本實驗提出一個新的方法來還原浮水印,此方法與字碼表的關聯度(correlation)有關。在實驗中我們將會觀察有無此方法對辨識率的影響,以及經過MP3壓縮之後有無此方法上辨識率的差別,最後的實驗結果說明此方法確實有助於浮水印還原成功的機率。 | zh_TW |
dc.description.abstract | Audio watermarking is a technique to embed copyright or other information such as shorten URL into an audio data. The embedded is perceptually inaudible to maintain the quality of the original audio. The proposed method is to embed the watermark into the audio signal by using discrete cosine transform spread-spectrum modulation. It’s hard to decode the watermark accurately because of the distance from the speaker, and the position of microphone. The proposed method is to determine the watermark by the correlation in order to improve the accuracy of watermark. In this experiment, we will observe the results that influenced by the proposed method. After the MP3 compression, the results will show how the proposed method can improve the accuracy. | en |
dc.description.provenance | Made available in DSpace on 2021-06-15T12:57:33Z (GMT). No. of bitstreams: 1 ntu-105-R03944032-1.pdf: 5833318 bytes, checksum: 77d75e2e10bca45fa39344239b7331ac (MD5) Previous issue date: 2016 | en |
dc.description.tableofcontents | 口試委員會審定書 i
誌謝 ii 摘要 iii ABSTRACT iv 目錄 v 圖目錄 viii 表目錄 xi Chapter 1 緒論 p.1 1.1 研究動機 p.1 1.2 應用情境 p.1 1.3 研究方向 p.5 1.4 章節概要 p.5 Chapter 2 研究介紹 p.6 嵌入浮水印流程圖 p.6 相關文獻 p.7 2.1. 低位元編碼(low-bit encoding) p.7 2.2. 相位編碼(phase encoding) p.7 2.3. 回聲隱藏(echo-hiding) p.7 2.4. 展頻調變(spread-spectrum) p.7 Chapter 3 研究方法 p.12 3.1 浮水印嵌入之架構 p.12 3.2 浮水印嵌入之架構 p.12 3.2.1. 將欲藏入資訊編碼 p.13 3.2.2. 浮水印的組成 p.13 3.2.3. 字碼表以及聽覺遮蔽效應 p.13 3.2.4. 將浮水印嵌入於離散餘弦轉換係數中 p.14 3.3 解碼流程 p.16 3.3.1. 找出第一次同步點 p.17 3.3.2. 解碼以及再次尋找同步點 p.18 3.3.3. 決定音框所解碼出的位元 p.19 3.3.4. 尋找同步位元 p.20 3.3.5. 還原浮水印 p.20 3.4 改良方法 p.20 3.4.1 觀察各式曲風的gain值 p.21 3.4.2 以關聯度總和為基準決定位元 p.22 Chapter 4 實驗結果 p.24 4.1 實驗參數設定以及實驗環境 p.24 4.2 辨識率衡量標準 p.26 Chapter 5 結論及未來展望 p.48 5.1 結論 p.48 5.2 未來展望 p.48 參考文獻 p.50 | |
dc.language.iso | zh-TW | |
dc.title | 使用DCT於音訊浮水印的實作與改良 | zh_TW |
dc.title | Improvement and Implementation of Audio Watermarking by Using DCT | en |
dc.type | Thesis | |
dc.date.schoolyear | 104-2 | |
dc.description.degree | 碩士 | |
dc.contributor.oralexamcommittee | 吳家麟,林裕訓 | |
dc.subject.keyword | 離散餘弦轉換,資料隱藏,音訊浮水印, | zh_TW |
dc.subject.keyword | discrete cosine transform,data hiding,audio watermarking, | en |
dc.relation.page | 51 | |
dc.identifier.doi | 10.6342/NTU201600737 | |
dc.rights.note | 有償授權 | |
dc.date.accepted | 2016-07-14 | |
dc.contributor.author-college | 電機資訊學院 | zh_TW |
dc.contributor.author-dept | 資訊網路與多媒體研究所 | zh_TW |
顯示於系所單位: | 資訊網路與多媒體研究所 |
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