speaker verification 中文意思是什麼

speaker verification 解釋
說話人確認
  • speaker : n 1 說話人；演說者；雄辯家。2 廣播員。3 擴音器，揚聲器；喇叭，話筒。4 〈S 〉英國下議院、美國眾議...
  • verification : n. 1. 證實，證明，確定；核驗，驗證，核對；檢驗，校驗。2. 【法律】訴狀[答辯書]結尾的舉證說明。
  1. 3 ) we try to import the bayesian adaptation, which is widely used in speech recognition, into speaker verification. we use bayesian maximum a posteriori estimation training a speaker model from background model, to solve the problem of model miss matching in speaker verification system

    3 ）為了解決說話人確認中存在的模型不匹配問題，嘗試將語音識別中的貝葉斯自適應演算法引入到基於高斯混合統一背景模型的說話人確認系統。
  2. In various speech character parameters, formant frequency, bandwidth and pitch frequency are chosen as voice character parameters. the reasons are as follows : hearing apperceive experiments indicates that formant frequency can stand for a majority of voice information, while average pitch frequency can explain 55 % ability of speaker verification

    數據結果與多項式回歸和線性多變量回歸相比，支持向量回歸既提高了泛化性能又避免了頻譜不連續性，從而使轉換語音與目標語音的頻譜距離失真分別減少了33 . 29 %和35 . 24 % 。
  3. In general, it can be classified into speaker identification and speaker verification according to decision modes. this thesis focuses attention on research of text - independent speaker recognition technology based on vector quantization. lbg algorithm is one of the common and important methods used in speaker recognition

    在說話人識別方面，由於矢量量化技術可以有效地提取說話人的個性特徵，矢量量化碼本可以在最佳意義上代表說話人特徵矢量空間中的所有矢量，因而矢量量化碼本可作為說話人有效的識別模型，而模型建立的關鍵問題是獲得高質量的碼本。
  4. Studies on automatic speaker verification system

    基於倒譜與復雜性的說話人確認系統
  5. Speaker verification based on ubm and cohort model

    基於全局背景模型和競爭者模型的說話人確認系統
  6. It can be classified into speaker identification and speaker verification according to decision modes

    說話人識別可以分為說話人鑒定和說話人確認兩大類。
  7. 2 ) in order to improve the performance of gaussian mixture model, we use hypothesize test to do the speaker verification

    2 ）為了進一步提高高斯混合模型的識別效果，採用假設檢驗的方式進行說話人確認。
  8. Robust speaker verification in low bit rate channels the influence of speech coding on text - independent speaker verification was studied

    研究了多種低速率通道環境下，語音編碼對與文本無關說話人確認的影響。
  9. It is a branch of speech recognition. it can be divided into speaker identification and speaker verification. firstly the basic theory of speaker recognition is discussed

    本文主要研究的是說話人識別，它是語音識別的一個分支，可分為說話人辨認和說話人確認。
  10. This thesis focuses attention on text - independent speaker verification. the main works are as follows : 1 ) we have a deep research in basic theories of speaker recognition and the speaker verification system based on gaussian mixture model

    本文的研究內容是基於文本無關的說話人確認系統，主要做了以下的工作: 1 ）深入細致地研究了說話人確認的原理以及基於高斯混合模型的說話人確認系統。
  11. At present, most speaker recognition systems are working on the computer. after primarily focusing on technique of feature extraction and recognition, this paper realizes a set of practical speaker verification system on spce061a, which can be applied to many fields of voice control

    目前國內外絕大部分說話人識別系統都是基於計算機來進行的，本文在重點研究說話人識別系統中的特徵參數提取、識別方法等關鍵技術的基礎上，在凌陽16位單片機spce061a上實現了一套具有實用意義的說話人確認系統，在進一步完善的情況下，可將其應用於語音門鎖、語音考勤、醫用語音控制等。
  12. The paper proposes the applications of complexity measure in the speaker verification and the automobile license plate location. from the laboratory result, the study gained a pleasing result

    本文主要探討了復雜性測度在說話人識別、車牌定位中的應用，並取得了可喜的研究結果。
  13. A speaker verification system of digit strings based on key digits and hmm

    的數字串說話人身份確認系統
  14. In the speaker verification, the study is developed in the paper : a ) kc complexity character is presented in this paper, which reflects the essence of the speaker

    說話人識別方面，本文做了以下研究工作： 1提出了一種能夠有效反映說話人個人特徵的kc復雜性特徵。
  15. Fisher score can project the variable - length sequence into invariable - length score as feature vectors used to train and test svms. this paper investigates three classic models ( vq, gmm, hmm ), and develop a speaker verification system on pc

    本文對語音識別的經典演算法（ vq ， gmm ， hmm ）進行了比較深入的考察，並開發了基於pc的姓名語音身份驗證系統。
  16. My main work is as following : 1 ) applying feature mapping, sub - band structure classifier and multi - classifier cooperation to enhance the robust of system ; 2 ) giving out close - set fusion and open - set fusion functions to solve the problems of speaker identification and verification respectively ; 3 ) building the dynamic recognition length algorithm based on optimal stopping rules ; 4 ) developing a applied system based on the techniques above

    主要工作是： 1 、提出參數映射、子帶結構分類器和多分類器系統以提高系統的魯棒性能； 2 、給出證據融合的閉集公式和開集公式，它們分別適用說話人辨認和確認問題的； 3 、通過最優停止理論建立識別長度自適應演算法； 4 、開發了一個實用的說話人識別系統。
  17. ( 4 ) because the speaker ’ s status is changing slowly all the time, a new online pattern updating technique is presented. after optimizing the mode of ‘ verifying after training ’ to the mode of ‘ training while verifying after training first ’, the speaker verification systems have stronger robustness. ( 5 ) programming with assembler language, a set of practical speaker verification system on spce061a is realized

    （ 4 ）針對說話人發音習慣的緩變性，提出了模板在線更新策略，把通常使用的「先訓練再識別」的更新模式，優化為在「先訓練」條件下的「邊訓練邊識別」的更新模式，從而使得說話人確認系統可適應說話人本體的特徵緩變，具有較強的適應性。
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