基于因子分析和特征映射的耳语说话人识别

摘要

Aiming at the mismatch between training speech and test speech from different speaking man‐ners ,a kind of feature processing algorithm is proposed based on joint factor analysis and feature map‐ping .The speaking mode information is extracted by joint factor analysis algorithm ,then the speaking mode factor and space are optimized .Before training and test ,the feature is mapped by speaking mode in‐formation to reduce the speaking mode effects .The experimental results show that the proposed algo‐rithm can effectively extract the speaker information of the training speech ,and improve the recognition rate of w hispered speaker recognition system .%为了解决耳语音识别系统中训练语音和测试耳语音来自不同发音模式的失配问题，本文提出一种基于联合因子分析（Joint factor analysis ，JFA）与特征映射（Feature mapping ，FM ）的失配信息补偿算法。该算法首先用联合因子分析法计算说话人发音模式信息，并对发音模式因子和发音模式空间参数进行优化，接着对语音参数用发音模式信息进行特征映射后再进行训练和识别，以减少发音模式对系统的影响。实验结果表明，基于因子分析和特征映射的方法可以有效地提取训练语音中的说话人信息，提高耳语识别系统的识别率。