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| ???org.dspace.app.webui.jsptag.ItemTag.dcfield??? | Value | Language |
|---|---|---|
| dc.contributor.advisor | 丁肇隆教授(Chao-Lung Ting),謝傳璋(Chuan-Cheung Tse) | |
| dc.contributor.author | Jia-Ge Liu | en |
| dc.contributor.author | 劉佳格 | zh_TW |
| dc.date.accessioned | 2021-06-07T23:49:42Z | - |
| dc.date.copyright | 2014-03-08 | |
| dc.date.issued | 2014 | |
| dc.date.submitted | 2014-02-11 | |
| dc.identifier.citation | 1. J. P. Campbell Jr., “Speaker recognition: a tutorial,” Proceedings of the IEEE, vol. 85, No. 9, pp. 1437-1462, 1997.
2. F. Bimbot, J-F. Bonastre, C. Fredouille, G. Gravier, I. Magrin-Chagnolleau, S. Meignier, T. Merlin, J. Ortega Garcia, D. Petrvovska-Delacretaz and D.A. Reynolds, “A tutorial on text-independent speaker verification,” EURASIP Journal on Applied Signal Processing, vol. 4, pp. 430-451, 2004. 3. I.M. Chagnolleau, G. Durou and F. Bimbot, “Application of time-frequency principal component analysis to text-independent speaker identification”, IEEE Transactions on Speech and Audio Processing, Vol. 10 No.6, pp. 371 –378, 2002 4. D. A. Reynolds and R. C. Rose, “Robust text-independent speaker identification using Gaussian mixture speaker models,” IEEE Trans. on Speech and Audio Processing, vol. 3, No. 1, 72-83, 1995. 5. Joseph P. Campbell, JR., ”Speaker Recognition : A Tutorial,” Proceedings Of the IEEE, vol.85, no.9, pp. 1437-1462,Sept 1997. 6. Peter Day and Asoke K. Nandi, “Robust Text-Independent Speaker Verification Using Genetic Programming,” IEEE Trans. Audio, Speech, and Language Processing, Vol. 15, No. 1, pp. 285-295, 2007. 7. D. Hosseinzadeh and S. Krishnan, “On the use of complementary spectral features for speaker recognition,” EURASIP Journal on Advances in Signal Processing, 2008. 8. Jang., J.-S.R., Audio Signal Processing and Recognition. available at the links for on-line courses at the author's homepage at http://mirlab.org/jang/books/audioSignalProcessing/ 9. 王士元、彭剛，「語言、語音與技術」，香港城市大學，2007年。 10. 國立臺灣師範大學 華語語音學編輯委員會編纂，「華語語音學」，正中書局，2009年。 11. 發音器官圖。 http://2.bp.blogspot.com/-7XUip-Xb-f4/UdbGKezpwQI/AAAAAAAAERo/o828MuL7VYg/s1600/%E6%9C%AA%E5%91%BD%E5%90%8D2.png 12. 吳銘鈞，2003。「以音節為基礎之語者識別」，國立清華大學碩士論文。 13. 林幸民，2004。「強健式特定文字之語者驗證系統」，國立中興大學碩士論文。 14. 黃銍鋒，2008。「基於頻譜維度之語者辨識」，國立暨南國際大學碩士論文。 15. 歐陽杰璋，2010。「利用音框移動之比較方法於中字彙.之特定語者中文單音辨識」，國立中興大學碩士論文。 16. 王小川，「語音訊號處理」，全華圖書，2009年。 | |
| dc.identifier.uri | http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/16916 | - |
| dc.description.abstract | 本文是針對語者驗證的研究，詞句是固定的四個中文漢字，先以聲音能量法將詞句中各單字分別擷取出來。接著計算每個中文單字頻譜的一階、二階、三階次矩參數作為語者聲音的特徵頻率，以特徵頻率來辨識特定語者。將數據分成2組，一組是樣本組，另一組是測試組。以樣本組資料訂定識別的門檻與配分，再以測試組資料來驗証方法的準確性。最後，以三個不同的成語作實驗，分別得到90%、88%、90%的正確率。因此可以推論個人發音的頻譜特徵作為「語音密碼」的構想是可行的。 | zh_TW |
| dc.description.abstract | The purpose of this study is to identify speaker by vocal password recognition. Each password includes four Chinese characters. Once a examinee speaks a password, energy method was used to separate the characters in the password. The characteristic frequencies of each character were obtained by calculating its first, second and third moments of the amplitude spectrum. The characteristic frequencies were used to recognize speaker’s identities. The sampled data included data for training and testing. The training data set was used to obtain the threshold and scoring rule in recognition process. The testing data set was used to verify the accuracy of the recognition method. Three different Chinese phases were investigated. The identification rates for each phase were 90%, 88% and 90%. It is inferred that the proposed method for vocal password recognition is very feasible. | en |
| dc.description.provenance | Made available in DSpace on 2021-06-07T23:49:42Z (GMT). No. of bitstreams: 1 ntu-103-R98525046-1.pdf: 7338596 bytes, checksum: 5f34169c59c7a6f8b3e30e02d849f54a (MD5) Previous issue date: 2014 | en |
| dc.description.tableofcontents | 目 錄口試委員會審定書………………………………………………………………..Ⅰ 誌謝…………………………………………………………………………………..Ⅱ 中文摘要…………………………………………………………………Ⅲ 英文摘要…………………………………………………………………Ⅳ 目錄………………………………………………………………………Ⅴ 圖目錄……………………………………………………………………Ⅶ
表目錄……………………………………………………………………XI 第一章 緒論 1.1 研究動機與目的................................................................................…….1 1.2 語者辨識概論.............................................................................................2 1.3 發聲構造簡介.............................................................................................3 1.3.1 發音器官..............................................................................................3 1.3.2 聲音的高低..........................................................................................4 1.4 前人研究.....................................................................................................5 1.5 章節概述.....................................................................................................6 第二章 研究方法 2.1 資料前處理.................................................................................................8 2.1.1 聲音能量法斷字..................................................................................8 2.1.2 語音訊號特徵頻率法........................................................................11 2.2 電話按鍵音與語音訊號之分析...............................................................14 2.2.1 電話按鍵音簡介................................................................................14 2.2.2 偏差性比較........................................................................................20 2.3 辨識方法...................................................................................................23 2.3.1 常態機率分佈與決策曲線................................................................23 2.3.2 最佳決策與配分................................................................................38 V 第三章 實驗結果與討論 3.1 實驗條件...................................................................................................44 3.2 實驗結果之比較.......................................................................................45 3.3 研究方法之驗證.......................................................................................55 第四章 結論與建議 4.1 結論...........................................................................................................59 4.1 建議...........................................................................................................60 參考文獻 VI | |
| dc.language.iso | zh-TW | |
| dc.title | 語音密碼之辨識研究 | zh_TW |
| dc.title | Vocal password recognition | en |
| dc.type | Thesis | |
| dc.date.schoolyear | 102-1 | |
| dc.description.degree | 碩士 | |
| dc.contributor.oralexamcommittee | 王昭男(Chao-Nan Wang) | |
| dc.subject.keyword | 語音密碼,語者驗證,頻譜,特徵頻率,次矩, | zh_TW |
| dc.subject.keyword | vocal password,speaker verification,spectrum,characteristic frequencies,moment, | en |
| dc.relation.page | 62 | |
| dc.rights.note | 未授權 | |
| dc.date.accepted | 2014-02-12 | |
| dc.contributor.author-college | 工學院 | zh_TW |
| dc.contributor.author-dept | 工程科學及海洋工程學研究所 | zh_TW |
| Appears in Collections: | 工程科學及海洋工程學系 | |
Files in This Item:
| File | Size | Format | |
|---|---|---|---|
| ntu-103-1.pdf Restricted Access | 7.17 MB | Adobe PDF |
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