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Development of computer-aided speech evaluation system modified by the technology of speech recognition

利用语音识别技术改进的计算机辅助语音评价系统的开发

基本信息

批准号：
10557193
负责人：
SUZUKI Noriko
金额：
$ 8.64万
依托单位：
Showa University
依托单位国家：
日本
项目类别：
Grant-in-Aid for Scientific Research (B).
财政年份：
1998
资助国家：
日本
起止时间：
1998 至 2000
项目状态：
已结题

项目摘要

The purpose of this research is to develope the computer-aided speech evaluation system which is modified by the technology of the speech recognition sysytem. For this purpose objective categorization of the distorted sound is neccesary to determine. Prior to this acoustical analysis, articulatory movement during abnormal sound production have to be analysed. During this period normal subjects and articulation disorders after head and neck cancer surgery are investigated.Following results were obtained :1-1. Three dimentional measurements of vocal tract shape using MRI(1) Parameter in the normal range exibited 1) stable change 2) the narrowest portion was centrally located on the palate.(2) The patlents vocal tract have markedwide and asymmetry caused by the surgery.1-2. FEM analyses of Three-Dimentional vocal tract modelsVocal transfer functions of three-dimensional vocal tract models estimated by a finite element method was shown. As a results, this method is more useful than one-dimentional models.2. Simultaneous analysis of mandibular and tongue movementA sirognathograph analysing system and an electropalatograph were used to record simultaneously. As a result, in the adults with moderate ankyloglossla, articulation of some sounds differed from that in the normal adults.3. Perception of Lateral Misarticulation (LM) and its physical correlatesAcoustical characteristics of LM were correlated to perceptional results.From these series of research, it was found that automatic machine recognition by computer is available in future.

本研究的目的是在语音识别技术的基础上开发一种计算机辅助语音评价系统。为此，有必要对失真音进行客观的分类确定。在此声学分析之前，必须分析异常声音产生时的发音运动。在此期间，对正常受试者和头颈癌手术后的关节障碍进行调查。结果如下：1-1。声道形状MRI三维测量(1)参数在正常范围内1)变化稳定2)最窄部分位于上颚中央。(2)手术导致患者声道明显宽且不对称。三维声道模型的有限元分析用有限元方法估计了三维声道模型的声音传递函数。结果表明，该方法比一维模型更有用。下颌和舌部运动的同时分析采用口音分析系统和腭电仪同时记录。结果，在中度咬合的成年人中，一些声音的发音与正常成年人不同。侧发音错误（LM）的感知及其物理相关性LM的声学特征与感知结果相关。从这一系列的研究中发现，计算机自动机器识别在未来是可行的。