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首页> 外文会议>International conference on advances in computing, communications and informatics >A novel approach in channel independent speaker verification system for Malayalam database using GMM-SVM frame work
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A novel approach in channel independent speaker verification system for Malayalam database using GMM-SVM frame work

机译：使用GMM-SVM帧工作的Malayalam数据库的信道独立扬声器验证系统中的一种新方法

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Speaker verification deals with the task of confirming the identity of a claim using a hypothesized speaker model and a speaker model database. This work concentrates on a speaker verification system by combining GMM and SVM. The feature vectors used for modelling are Mel Frequency Cepstral Coefficients (MFCC). The database is collected through different recording equipments which is considered as different channels. In order to reduce the channel effects, a method called feature mapping is implemented. To model a speaker in SVM positive as well as negative files are needed. Comparative studies on the rate of modelling using different types of negative files are performed in this work. Then the proposed system is tested over the Malayalam database. The maximum modelling rate obtained is in the range of 95–99%. Then the accuracy of the system with different type of negative files are calculated and compared the results. The system is developed using MATLAB 7.12.0(R2011a) and LIBSVM tool kit.
机译：演讲者验证处理使用假设扬声器模型和扬声器模型数据库确认索赔的身份的任务。通过组合GMM和SVM，这项工作专注于扬声器验证系统。用于建模的特征向量是MEL频率谱系齐系数（MFCC）。通过不同的录音设备收集数据库，该设备被认为是不同的频道。为了减少频道效果，实现了一种称为特征映射的方法。要在SVM中建模扬声器，因此需要否定文件。对使用不同类型的负面文件进行建模速率的比较研究在这项工作中进行。然后通过Malayalam数据库测试所提出的系统。获得的最大建模率在95-99％的范围内。然后计算具有不同类型的否定文件的系统的准确性并进行比较结果。该系统是使用MATLAB 7.12.0（R2011A）和LIBSVM工具套件开发的。

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