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On the design of automatic voice condition analysis systems. Part Ⅲ: review of acoustic modelling strategies

机译:关于自动语音条件分析系统的设计。 第三部分:声学建模策略综述

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This is the third of a three-part series devoted to review the current state of the art of automatic voice condition analysis systems. A direct continuation to "On the design of automatic voice condition analysis systems. Part I: review of concepts and an insight to the state of the art" and to "On the design of automatic voice condition analysis systems. Part II: review of speaker recognition techniques and study on the effects of different variability factors" already published in this journal. The goal of this paper is to compile the most significant parameterisation approaches used in the literature for automatic voice condition analysis systems, along with a critical discussion about their usefulness, providing the user with a comprehensive review of the most important techniques used for acoustic modelling in the field. The paper presents the mathematical formulation and physical interpretation of a series of perturbation and fluctuation parameters, noise features, complexity based parameters, modulation spectra, morphological parameters, and spectral-cepstral coefficients; and is complemented with a library written in MATLAB (R), which has been made available to the readers in an online software repository. (c) 2020 Elsevier Ltd. All rights reserved.
机译:这是致力于审查自动语音条件分析系统的当前状态的三部分系列的第三部分。直接继续“关于自动语音条件分析系统的设计。第一部分:对概念的审查和对现有技术的洞察”以及“在自动语音条件分析系统的设计中。第二部分:发言者审查识别技术与对本杂志已发表的不同变异因素的影响。本文的目的是编制用于自动语音条件分析系统的文献中使用的最重要的参数化方法,以及关于其有用性的关键讨论,为用户提供了对用于声学建模的最重要技术的全面审查场。本文介绍了一系列扰动和波动参数,噪声特征,基于复杂性参数,调制光谱,形态参数和光谱 - 跳跃系数的数学配方和物理解释;并补充了在Matlab(R)中写的图书馆,这些图书馆已在在线软件存储库中的读者提供。 (c)2020 elestvier有限公司保留所有权利。

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