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The Research and Development of an Automatic Evaluation System for Oral Communication Proficiency

口语交际能力自动评价系统的研究与开发

基本信息

批准号：
17520406
负责人：
TEAMAN Brian D.
金额：
$ 1.15万
依托单位：
Osaka Women's College
依托单位国家：
日本
项目类别：
Grant-in-Aid for Scientific Research (C)
财政年份：
2005
资助国家：
日本
起止时间：
2005 至 2006
项目状态：
已结题

来源：
https://kaken.nii.ac.jp/en/grant/KAKENHI-PROJECT-17520406/
关键词：
English Foreign Language Phonetics Education CALL Automatic Speech Recognition

项目摘要

The current speaking test system consists of three types of users : students, teachers and administrators. Students can register, take tests and change their profile (including adding themselves to classes and changing their password). The teacher users are the most important part of the system and can perform many functions like the following: 1. Teachers can grade tests which involves selecting a student's tests and listening to it and applying a rating to it. From the test grading module, teachers can easily see a list of all students who have taken a particular test, choose tests to grade and then evaluate each item using a five-level scale that can be applied to any token depending how the teacher wants to grade it. For example the scale could refer to overall comprehensibility or focus on one aspect such as whether the answer is correct or the pronunciation is correct. 2. The teacher can also control the machine-grading system. To do this the teacher must create grammars and dictionaries in order to perform the machine grading. The machine-grader then gives a score from 0 to 100 depending on how accurately the spoken word matches the teacher-created model. 3. The teacher can also manage classes and tests. The administrator can use their account to manage teachers and their accounts.There are currently 152 different users registered on the MASLE system. These users have taken ten different tests making a total of over 2000 different test items recorded. There are currently four different machine-gradable tests that have been given to 25 native Japanese speakers and five different native English speakers to test the accuracy of the speech recognition system. The results showed that machine recognition is very promising since non-native speakers ranged from about 30 to 80 (out of 100) and native speakers ranged from 80 to 100.

目前的口语测试系统由三类用户组成：学生、教师和管理员。学生可以注册、参加考试和更改个人资料（包括将自己添加到课程和更改密码）。教师用户是系统中最重要的部分，可以完成以下功能：1。教师可以对测试进行评分，包括选择学生的测试，听取测试并对其进行评分。从测试评分模块中，教师可以很容易地看到参加特定测试的所有学生的列表，选择测试来评分，然后使用五-等级量表，可应用于任何令牌，具体取决于教师希望如何对其进行评分。例如，该量表可以指整体可理解性或专注于某个方面，答案是否正确或发音是否正确。2.教师还可以控制机器评分系统。要做到这一点，教师必须创建语法和字典，以执行机器评分。然后，机器评分器根据口语单词与教师创建的模型的匹配程度给出从0到100的分数。3.教师还可以管理课程和考试。管理员可以使用他们的帐户来管理教师和他们的帐户。目前有152个不同的用户在MASLE系统上注册。这些用户已经进行了10次不同的测试，总共记录了2000多个不同的测试项目。目前有四种不同的机器分级测试，已经给25个母语为日语的人和五个不同的母语为英语的人，以测试语音识别系统的准确性。结果表明，机器识别是非常有前途的，因为非母语者的范围从30到80（满分100），母语者的范围从80到100。