Selected methods of pathological speech signal analysis
Selected methods of pathological speech signal analysis
复制标题
病理语音信号分析的选定方法
DOI：
--
复制
发表时间：
2006
影响因子：
0.9
通讯作者：
W. Wszolek
中科院分区：
文献类型：
--
作者：
W. Wszolek
本文介绍了作者多年来在分析任务中对选定的信号变换方法的评估和病态语音评估的可用性的部分测试结果。在医学诊断的许多问题中，以及在一些疾病的治疗和康复的规划中，有必要对畸形语音信号进行评估。该评估可以涉及对信号变形程度的评估，并且在这种情况下，任务是以定量维度(最好是标量)呈现测量的病态语音信号和抽象信号之间的偏差的量度，其可以被认为是正确语音的模式。拥有对所考虑的信号变形程度的这种标量测量，能够监测疾病过程的发展或缓解，这在当前监测治疗效果或/和许多疾病的康复具有关键意义。病理语音评估还可以进入分类和确定所分析的信号的类型的方向，在某些情况下，这可以与解剖和功能原因以及所考虑的疾病的情况有直接联系。对病理性语音信号的分类可以指出语音信号病理性变形的最可能原因，从而有助于诊断。这样的分类还有助于最佳治疗选择和确定康复建议。
变换、分析、分类和语音信号识别的方法显然已经知道很多年了，因为没有困难，可以找到许多讨论这些概念的著作，并给出了关于基本考试结果和许多应用作品的结果。本文提出的问题与其他作者发表的大多数作品有很大不同，因为大多数关于语音信号分析(等)的知名作品都是为了理解陈述的内容(自动语音理解、语音书写转换、通过语音信号控制设备)，或者相对地通过确定说话人的身份(自动识别或认证说话人)。同时，在病理性言语分析中，语义陈述的内容并不重要，说话人是谁也不重要。研究的对象是语音发音过程本身及其所有的病理变形，它决定了所使用的信号分析工具以及选定的对象识别技术，即特定的坏人语音变形形式与整个健全人群的语音相比的形式。
Selected results of examinations, having been performed by the author for several years, concerning the evaluation of selected methods of transforming signal in analysis tasks and pathological speech evaluation usability were presented in the article. In many issues of medical diagnosis, as well as in the planning of some illnesses therapy and rehabilitation, it is necessary to evaluate the signal of deformed speech. This evaluation can concern evaluation of the signal deformation degree and in this case the task is to present in a quantitative dimension (preferably scalar) the measure of deviation between the measured pathological speech signal and the abstract signal, which can be acknowledged as a pattern of the correct speech. Possessing such a scalar measurement, of the considered signal deformation degree, enables to monitor the illness process development or remission, which has a key importance in the current monitoring of the therapy effects or/and many illnesses rehabilitation. Pathological speech evaluation can also go into the direction of a classification and determination of a type of the analysed signal, which can, in some cases, have a direct connection with anatomical and functional causes as well as conditions of the considered illness. The classification of pathological speech signals can facilitate the diagnosis by pointing the most probable causes of the speech signal pathological deformation. Such a classification can also help in the optimal therapy selection and in determining rehabilitation recommendations.
The methods of transformation, analysis, classification and speech signal recognition have been known apparently for many years, as with no difficulty, many writings discussing these concepts and presenting results concerning both basic examinations results and many application works, can be found. The problem, presented in this article, is strongly different from the majority of works, which were published by other authors, as most of well known works, concerning the speech signal analysis (etc.), are directed to understand the content of the statement (automatic speech understanding, a speech-writing conversion, steering of the devices by speech signal), or relatively by determining the identity of the speaker (automatic identification or authentification of the speaker). Meanwhile, in the pathological speech analysis the semantic statement content is not essential; it is also not important who the speaker is. The research subject is the speech articulation process itself and all its pathological deformations, which determines both the used signal analysis tools as well as the techniques of the selected objects recognition, which are the forms of the particular ill person speech deformation forms in comparison to the speech of the whole sound people population.