论文标题
病理语音信号分析的强大而复杂的方法
Robust and Complex Approach of Pathological Speech Signal Analysis
论文作者
论文摘要
本文介绍了病理语音信号分析领域最新方法中的方法，特别关注参数化技术。它提供了对92个语音功能的描述，其中其中一些已经在该科学领域被广泛使用，并且其中一些尚未尝试（它们来自语音信号处理的不同领域，例如语音识别或编码）。作为最初的贡献，这项工作基于调制光谱，下丘的系数，二头肌，样品和近似熵和经验模式分解，引入了36种全新的病理语音措施。这些特征的意义在3（英语，西班牙语和捷克语）的病理数据库中测试了分类准确性，敏感性和特异性。
This paper presents a study of the approaches in the state-of-the-art in the field of pathological speech signal analysis with a special focus on parametrization techniques. It provides a description of 92 speech features where some of them are already widely used in this field of science and some of them have not been tried yet (they come from different areas of speech signal processing like speech recognition or coding). As an original contribution, this work introduces 36 completely new pathological voice measures based on modulation spectra, inferior colliculus coefficients, bicepstrum, sample and approximate entropy and empirical mode decomposition. The significance of these features was tested on 3 (English, Spanish and Czech) pathological voice databases with respect to classification accuracy, sensitivity and specificity.
