Quasi-closed phase forward-backward linear prediction analysis of speech for accurate formant detection and estimation.
Quasi-closed phase forward-backward linear prediction analysis of speech for accurate formant detection and estimation.
复制标题
语音的准闭相位前向-后向线性预测分析，用于准确的共振峰检测和估计。
DOI：
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复制
发表时间：
2017
影响因子：
2.4
通讯作者：
P. Alku
中科院分区：
文献类型：
--
作者：
Dhananjaya N. Gowda;Manu Airaksinen;P. Alku
近年来，提出了一种准闭相位分析语音信号，用于精确声门反滤波。然而，属于时间加权线性预测（WLP）方法家族的QCP分析使用传统的正演类型的样本预测。这可能不是最好的选择，特别是在计算具有硬限制权重函数的WLP模型时。WLP预测误差的样本选择性最小化减少了给定窗口框架内可用样本的有效数量。为了解决这个问题，提出了一种改进的准封闭相位前向后（QCP-FB）分析，其中每个样本都是根据其过去和未来的样本进行预测，从而更有效地利用可用的样本数量。对物理建模方法生成的合成元音以及自然语音进行的共振峰检测和估计实验表明，所提出的QCP- fb方法比传统的线性预测和QCP方法有统计学上的显著改进。
Recently, a quasi-closed phase (QCP) analysis of speech signals for accurate glottal inverse filtering was proposed. However, the QCP analysis which belongs to the family of temporally weighted linear prediction (WLP) methods uses the conventional forward type of sample prediction. This may not be the best choice especially in computing WLP models with a hard-limiting weighting function. A sample selective minimization of the prediction error in WLP reduces the effective number of samples available within a given window frame. To counter this problem, a modified quasi-closed phase forward-backward (QCP-FB) analysis is proposed, wherein each sample is predicted based on its past as well as future samples thereby utilizing the available number of samples more effectively. Formant detection and estimation experiments on synthetic vowels generated using a physical modeling approach as well as natural speech utterances show that the proposed QCP-FB method yields statistically significant improvements over the conventional linear prediction and QCP methods.
影响因子：
2.4
作者：
HILLENBRAND, J;GETTY, LA;WHEELER, K
通讯作者：
WHEELER, K