博碩士論文 101521063 詳細資訊




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姓名 蘇樺(Hua Su)  查詢紙本館藏   畢業系所 電機工程學系
論文名稱 粒子群演算法之語者確認系統
(PSO Algorithm for Speaker Verification Systems)
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摘要(中) 在本論文中著重於語者確認後端的研究,當有了測試語料後,希望能對該測試語料做到最佳的辨識效能,因此主要的研究方向為測試語音與各註冊語者模型的處理。首先系統採用正規化計分方式,並加入粒子群演算法來優化模型參數,粒子群演算法是一種最佳化演算法,透過模擬鳥群或魚群搜索食物的方式來找尋最佳解,屬於群體智慧的方法,其粒子具有記憶性,且該演算法計算簡單與快速收斂,故將其應用於語者確認語料的建模上,藉由其優化的特性以建立更加精確的語者模型,使得系統更具有鑑別力。再者,本論文將簡單線性迴歸分析應用於語者確認系統中,簡單線性迴歸分析是統計學裡重要的分析方法,常用來分析資料之間的相關性,此處將語者確認結果建立簡單線性迴歸模型,透過普通最小平方法的估計,及判定係數的分析,對語者確認的結果做結合,使得系統對測試語音的辨識更加精準,進而提升系統的辨識效能。
摘要(英) This thesis focused on speaker verification between test corpus and registered speaker models. First of all, the thesis introduces score normalization approaches to the speaker verification system. Then, we apply Particle Swarm Optimization algorithm to optimize model parameters. The main idea of PSO method is like fish foraging behavior. All particles of PSO have memories. The algorithm has simple calculation and fast convergence. With its optimized features to build a more accurate speaker model, the system is more discernment.
In addition, the thesis also introduces a regression analysis method to speaker verification system. Regression analysis is a useful statistics analysis method. We build the regression model for each speaker by ordinary least squares estimation and the coefficients of determination analysis. Experiments showed that the proposed method can improve performance of the speaker verification system.
關鍵字(中) ★ 粒子群演算法
★ 語者確認
關鍵字(英) ★ particle swarm optimization algorithm
★ speaker verification
論文目次 目錄
摘要I
Abstract II
目錄 III
圖目錄 V
表目錄 VI
第一章 緒論 1
1.1研究動機 1
1.2語者辨識架構概述 2
1.3語者調適概述 4
1.4研究方向 5
1.5文獻探討 5
1.6章節概要 8
第二章 語者確認系統之技術 10
2.1 特徵參數擷取 11
2.2 高斯混合模型 12
2.3 語者模型之訓練 13
2.3.1向量量化 14
2.3.2 EM演算法 17
2.4語者模型調適 18
2.4.1貝式調適法 19
第三章 語者確認 22
3.1 GMM-UBM 22
3.2 KL距離之語者確認 24
3.3 測試正規化 25
第四章 粒子群演算法 27
4.1 粒子群演算法概念 27
4.2 慣性權重 30
4.3 粒子群演算法應用於語者確認 31
第五章 迴歸分析法 35
5.1 迴歸分析法概念 35
5.2 普通最小平方法 36
4.3 判定係數 38
5.4 語者確認分數之迴歸分析 42
5.5 語者確認分數的結合 43
第六章 實驗與討論47
6.1 語音語料 47
6.2語者確認效能評估 48
6.2.1相等錯誤率 48
6.2.2決策成本函數 49
6.3 實驗結果50
6.3.1實驗一 三種確認系統之比較50
6.3.2實驗二 迴歸分析應用於語者確認之實驗 52
6.3.3實驗三 粒子群演算法應用於語者確認 54
6.3.3實驗四 迴歸分析和粒子群演算法之實驗 56
7.1結論 59
7.2 未來展望 60
參考文獻 61
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指導教授 莊堯棠(Yau-tarng Juang) 審核日期 2014-7-7
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