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Speech analysis in search of speakers with MFCC, PLP, Jitter and Shimmer

机译:语音分析,用于使用MFCC,PLP,抖动和微光搜索说话者

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This document belongs to the implementation of a system of recognition of the bases on the Hidden Models of Markov HMM. Due to a system of recognition, we will use the techniques of parameterization which handles the mechanisms of the human ear Mel Frequency cepstral coefficient MFCC and Perceptual linear prediction PLP starting from the database TIMIT. We also used two indices Jitter and Shimmer since they show very precise information about the voice of the person.
机译:该文档属于基于马尔可夫HMM的隐藏模型的识别系统的实现。由于存在识别系统,我们将从数据库TIMIT开始使用参数化技术来处理人耳梅尔频率倒谱系数MFCC和感知线性预测PLP的机制。我们还使用了两个指标Jitter和Shimmer,因为它们显示了有关人声的非常精确的信息。

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