公开(公告)号：US20080249774A1

公开(公告)日：2008-10-09

申请号：US12061156

申请日：2008-04-02

Applicant: Hyun-Soo KIM ,  Myeong-gi Jeong ,  Hyun-Sik Shim ,  Young-Hee Park ,  Ha-Jin Yoo ,  Guen-Chang Kwak ,  Hye-Jin Kim ,  Kyung-Sook Bae

Inventor： Hyun-Soo KIM ,  Myeong-gi Jeong ,  Hyun-Sik Shim ,  Young-Hee Park ,  Ha-Jin Yoo ,  Guen-Chang Kwak ,  Hye-Jin Kim ,  Kyung-Sook Bae

IPC: G10L17/00

CPC classification number: G10L17/02

Abstract: Disclosed is a method for speech speaker recognition of a speech speaker recognition apparatus, the method including detecting effective speech data from input speech; extracting an acoustic feature from the speech data; generating an acoustic feature transformation matrix from the speech data according to each of Principal Component Analysis (PCA) and Linear Discriminant Analysis (LDA), mixing each of the acoustic feature transformation matrixes to construct a hybrid acoustic feature transformation matrix, and multiplying the matrix representing the acoustic feature with the hybrid acoustic feature transformation matrix to generate a final feature vector; and generating a speaker model from the final feature vector, comparing a pre-stored universal speaker model with the generated speaker model to identify the speaker, and verifying the identified speaker.

Abstract translation: 公开了一种语音讲话者识别装置的语音说话人识别方法，该方法包括从输入语音中检测有效的语音数据; 从所述语音数据中提取声学特征; 根据主成分分析（PCA）和线性判别分析（LDA）中的每一个从语音数据生成声学特征变换矩阵，混合每个声学特征变换矩阵以构建混合声学特征变换矩阵，并将表示 声学特征与混合声学特征变换矩阵以产生最终特征向量; 以及从所述最终特征向量生成扬声器模型，将预先存储的通用扬声器模型与所产生的扬声器模型进行比较以识别所述扬声器，以及验证所识别的扬声器。