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首页> 外文期刊>Audio, Speech, and Language Processing, IEEE Transactions on >Epoch Extraction Based on Integrated Linear Prediction Residual Using Plosion Index
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Epoch Extraction Based on Integrated Linear Prediction Residual Using Plosion Index

机译：基于融合指数的残差指数线性估计残差提取

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摘要

Epoch is defined as the instant of significant excitation within a pitch period of voiced speech. Epoch extraction continues to attract the interest of researchers because of its significance in speech analysis. Existing high performance epoch extraction algorithms require either dynamic programming techniques or a priori information of the average pitch period. An algorithm without such requirements is proposed based on integrated linear prediction residual (ILPR) which resembles the voice source signal. Half wave rectified and negated ILPR (or Hilbert transform of ILPR) is used as the pre-processed signal. A new non-linear temporal measure named the plosion index (PI) has been proposed for detecting ‘transients’ in speech signal. An extension of PI, called the dynamic plosion index (DPI) is applied on pre-processed signal to estimate the epochs. The proposed DPI algorithm is validated using six large databases which provide simultaneous EGG recordings. Creaky and singing voice samples are also analyzed. The algorithm has been tested for its robustness in the presence of additive white and babble noise and on simulated telephone quality speech. The performance of the DPI algorithm is found to be comparable or better than five state-of-the-art techniques for the experiments considered.
机译：历元被定义为在浊音的音调周期内显着激发的时刻。历元提取由于其在语音分析中的重要性而继续吸引研究人员的兴趣。现有的高性能历元提取算法需要动态编程技术或平均音调周期的先验信息。提出了一种没有这种要求的算法，该算法基于类似于语音源信号的集成线性预测残差（ILPR）。半波整流和求反的ILPR（或ILPR的希尔伯特变换）被用作预处理信号。已经提出了一种新的非线性时间量度，称为“爆炸指数”（plosion index，PI），用于检测语音信号中的“瞬时”。 PI的扩展称为动态展开指数（DPI），用于预处理信号以估计历元。所提出的DPI算法使用六个大型数据库进行了验证，这些数据库同时提供了EGG记录。还分析了吱吱作响的声音和歌声样本。该算法已经过测试，在存在加性白噪声和胡言乱语噪声以及模拟电话质量语音的情况下，其鲁棒性。对于所考虑的实验，发现DPI算法的性能与五种最新技术相当或更好。

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