| 防止假冒者闯入说话人识别系统 | |
| 张利鹏 ; 曹犟 ; 徐明星 ; 郑方 ; ZHANG Lipeng ; CAO Jiang ; XU Mingxing ; ZHENG Fang | |
| 2010-05-12 ; 2010-05-12 | |
| 关键词 | 说话人识别 假冒者闯入 静音信道检测 speaker recognition impostor enter mute voice channel detect TN912.34 |
| 其他题名 | Prevention of impostors entering speaker recognition systems |
| 中文摘要 | 如何防止假冒者闯入,是说话人识别研究中的重要课题之一。回放高保真录音和模仿目标说话人声音是假冒者闯入说话人识别系统的2种常见方式。该文针对用高保真录音来闯入系统进行了初步探索。高保真录音设备是一个模数转换系统,语音通过它会发生一些特性变化。通过检测语音中是否存在高保真录音设备的特性,可以检测假冒者是否在使用回放高保真录音来闯入系统。以Gauss混合模型和通用背景模型(Gaussian mixture model-universal background model,GMM-UBM)说话人识别系统为基础,用语音数据的静音段对信道进行建模,检测待识别语音与训练语音的信道是否相同,进而判断是否属于高保真录音闯入。实验表明,加入了基于静音段的信道检测后,说话人识别系统对含有假冒者闯入的测试数据的等错误率下降了40%左右。; Speaker recognition systems need to guard against impostors entering the system.High-fidelity recording and speaker simulations are the two most common methods used by impostors.This paper focuses on preventing the use of recordings.Audio reading equipment can be regarded as an analog-to-digital conversion system which will affect the vocal characteristics.These characteristics can be analyzed to prevent incursions.The model is based on the Gaussian mixture model-universal background model(GMM-UBM) speaker recognition system using a voice channel model based on a mute voice gathered from voice data.If the channel characteristics for the training data and the test data differ,the input may not be trustworthy.Tests show that,with the channel examination based on the mute voice,the equal error rate of this system with the mute voice was reduced by about 40%. |
| 语种 | 中文 ; 中文 |
| 内容类型 | 期刊论文 |
| 源URL | [http://hdl.handle.net/123456789/27813]  |
| 专题 | 清华大学 |
| 推荐引用方式 GB/T 7714 | 张利鹏,曹犟,徐明星,等. 防止假冒者闯入说话人识别系统[J],2010, 2010. |
| APA | 张利鹏.,曹犟.,徐明星.,郑方.,ZHANG Lipeng.,...&ZHENG Fang.(2010).防止假冒者闯入说话人识别系统.. |
| MLA | 张利鹏,et al."防止假冒者闯入说话人识别系统".(2010). |
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