基于局部信号维数计算的语音分割

Q3 Mathematics

WSEAS Transactions on Systems and Control Pub Date : 2023-05-12 DOI:10.37394/23202.2023.22.44

Zhaoting Liu, X. Zhuang, N. Mastorakis

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引用次数: 0

摘要

从语音信号局部线性流形分析的角度，提出了一种新的浊音和浊音分割的计算方法。它是基于短时线性子空间维数的估计。研究了单音素信号的子空间维度特征。利用PCA算法对局部信号向量集进行分析，对分帧后形成的数据矩阵进行维数估计。利用局部主成分分析对语音信号进行分析，实现了浊音和不浊音的分割。仿真实验证明了该方法的有效性。

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Speech Segmentation Based on the Computation of Local Signal Manifold Dimension

A new computational method of unvoiced and voiced speech segmentation is proposed from the perspective of local linear manifold analysis of speech signals. It is based on the estimation of the dimension of short-time linear subspace. The subspace dimensional characteristics of the single phoneme signal are studied. The local signal vector set is analyzed by using the PCA algorithm to estimate the dimension of the data matrix formed by framing. The local PCA is used to analyze the speech signal to achieve the segmentation of unvoiced and voiced pronunciation. Simulation experiments prove the effectiveness of the proposed method.

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来源期刊

WSEAS Transactions on Systems and Control Mathematics-Control and Optimization

CiteScore

1.80

自引率

0.00%

发文量

期刊介绍： WSEAS Transactions on Systems and Control publishes original research papers relating to systems theory and automatic control. We aim to bring important work to a wide international audience and therefore only publish papers of exceptional scientific value that advance our understanding of these particular areas. The research presented must transcend the limits of case studies, while both experimental and theoretical studies are accepted. It is a multi-disciplinary journal and therefore its content mirrors the diverse interests and approaches of scholars involved with systems theory, dynamical systems, linear and non-linear control, intelligent control, robotics and related areas. We also welcome scholarly contributions from officials with government agencies, international agencies, and non-governmental organizations.