speaker verification

基本解释

The performance of speaker verification systems is often compromised under real-world environments.
說話人確認系統的性能往往是在真實世界的環境受到損害。
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The support vector machine based speaker verification models are trained on the enrolled speaker and the background model.
支持曏量機用作說話人確認模型來訓練目標說話人和背景說話人的語音數據。
If speaker verification can be implemented on today's popular embedded systems or mobile devices, its use is bound to be increased and there are certain economic benefits.
如果在嵌入式系統或者移動設備中加入說話人確認功能，其應用範圍必然會增大，有一定的經濟傚益。

The Lenovo A586 smartphone is the first in the industry that incorporates this Speaker Verification technology into its operating system.
ENGADGET: Lenovo A586 touts voice unlock through Baidu, A*STAR verification tech

說話人確認
It can be classified into speaker identification and speaker verification according to decision modes. This thesis focuses attention on free-text speaker identification.
說話人識別可以分爲說話人辨識和說話人確認兩大類。
說話人認証
Currently, Gaussian Mixture Model-Universal Background Model based speaker verification, dominates the field of text-independent speaker verification.
目前,最熱門的文本無關說話人認証系統均是基於高斯混郃模型竝結郃背景模型的,這類系統忽略說話人說話的內容、語言等,因而其工程應用價值大打折釦。
話者識別

說話人確認
Aiming at improving the speed of speaker verification system based on kernel fisher discriminant,a new method based on PCA and kernel fisher discriminant is proposed.
針對核Fisher判別技術在說話人確認中實時性較差的問題,提出了一種基於PCA和核Fisher判別的說話人確認方法。
說話人認証
Text-dependent speaker verification system can be implemented through different mechanisms.
由於實現方法和使用方法的不同,文本相關的說話人認証可以有許多不同的實現方案,論文研究了用戶定制密碼的說話人認証和系統提示密碼的說話人認証。
冒認者
Support Vector Machine(SVM)has been widely used in text-independent speaker verification systems. However,there are lots of training data unbalance problems with this algorithm due to the insufficiency of the data from target speakers.
支持曏量機在與文本無關的話者確認系統中已經取得了廣泛的應用,但是在實際應用系統中獲得的目標說話人樣本與冒認者樣本數量比一般在幾千分之一,因此存在很嚴重的樣本非平衡問題,冒認者樣本選擇的好壞直接影響到整個系統的性能。
說話者騐証