Please use this identifier to cite or link to this item: http://hdl.handle.net/11455/18012
標題: 利用共同向量法於特定語者中文單音辨識
Using the Method of Common Vector to Recognize Isolate Mandarin Word for Speaker-Dependent System
作者: 杜思良
Du, Si-liang
關鍵字: Common Vector;共同向量;K-th Nearest Neighbor;K-th Nearest Neighbor分類法
出版社: 應用數學系所
引用: 1. 王小川。"語音訊號處理" 2. 王國榮。" Visual Basic 6.0 實戰講座" 3. 李宗寶,吳宗憲。"探討K-means之共同向量法應用於國語數字辨識" 4. 李宗寶,林靖剛。"利用Multiple Common Vector 於國語數字之語音辨識"。 5. 吳明哲,黃世陽。Visual Basic 6.0 中文版學習範本 6. Angm H., “Common vector obtained from linearly independent speech vectors by using LPC parameters,” graduation project, Elect. Electron. Eng. Dept., Osmangazi Univ., Eskisehir, Turkey, 1995. 7. Bing, X. and Yihe, S. (1996). Research on ASIC for multi-speaker isolated word recognition, ASIC, 2nd International Conference, 21-24, 135-137. 8. Gulmezoglu M. B., Vakif Dzhafarov, and Atalay Barkana, “ A novel approach to isolated word recognition,” IEEE Trans. On Speech and Audio Processing, vol. 7. No. 6, 1999. 9. Harb, H., and Husseiny, A.H. (2000). Isolated words recognition using neural networks, The 7th IEEE International Conference on, 1, 17-20, 349-351. 10. Keskin M., Gulmezoglu M. B., Parlaktuna O., and Barkana A., “Isolated word recognition by extracting personal differences,” in Proc. 6 th Int.Conf. Signal Processing Applications and Technology, Boston, MA , pp.1989-1992, 1996. 11. Li, T. F. (2003). Speech recognition of mandarin monosyllables, Pattern Recognition 36, 2713-2721. 12. Rabiner L.R. and Sambur M.R., “An algorithm for determining the endpoints of isolated utterances”,The Bell System Technique Journal,Vol.54,pp.297-315,1975. 13. Sakoe H. and Chiba S., “Dynamic Programming Optimization for Spoken Word Recognition,” IEEE Transactions on Acoustics, Speech, and Signal Processing, Vol. 26, pp. 43-49, 1978. 14. Yucel S., “Application of Gram-Schmidt orthogonalization method to speech recognition for different noise levels” graduation project, Elect. Electron. Eng. Dept., Osmangazi Univ., Eskisehir, Turkey, 1996. 15. Rabiner L.R. and Sambur M.R., “An algorithm for determining the endpoints of isolated utterances”,The Bell System Technique ournal,Vol.54,pp.297-315,1975.
摘要: 
本篇論文主要是探討50個國字單音的辨識,首先利用共同向量來建構出語音模型,之後試著加入K-th Nearest Neighbor(K-NN)分類法觀察辨識率是否比共同向量法來的好,也嘗試使用混合模型(K-th Nearest Neighbor法加共同向量法),本論文討論的其他三個實驗因子:「音框數」、「分群數」、「語音特徵參數個數」,希望能找出在何種情況下50個字能具有不錯的鑑別度。

This paper is to discuss the speech recognition of 50 isolated mandarin words. First, we use common vector to construct the speech model, Then we will try to use K-th Nearest Neighbor, if it can improve the rate of recognition .We also attempt to join common vector and K-th Nearest Neighbor. We consider the other three experimental factors in this paper: "the number of cluster", "speech feature extraction", “the number of K-th” hoping to find out the circumstances under which the 50 characters can be a good discrimination.
URI: http://hdl.handle.net/11455/18012
其他識別: U0005-1906200819070100
Appears in Collections:應用數學系所

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