Japanese text dictation system for official reports

官方报告的日语文本听写系统

基本信息

批准号：
07558042
负责人：
MAKINO Shozo
金额：
$ 3.39万
依托单位：
Tohoku University
依托单位国家：
日本
项目类别：
Grant-in-Aid for Scientific Research (B)
财政年份：
1995
资助国家：
日本
起止时间：
1995 至 1997
项目状态：
已结题

项目摘要

The experts often make official reports such as for estimation of real estiate, for medico-legal autopsy and so on. It is a time-consuming job to make official reports. If speech input is automatically transformed to sentenses, the load of making document will be decreased. In current speech input system, it is still difficult to automatically recognize continuously spoken general sentences. But, when the condition is so limited that a user is special, 1) a user is limited to a specified speaker, 2) the expression of document is almost decided, and the structure of sentence is comparatively simple, 3) the vocabulary number in the official reports is 4000 from 3000, and the vocabulary number decrease more by deviding the document into each of parts. These conditions will lighten load to a device, and the device will be developed with ease.In this research, we have developed a sentense recognition system for autopsy reports. Firstly, we built an automaton by ECGI method to represent the structure of sentence. Then we defined the distance between the states of an automaton to strengthen correspondence to the words, the appearance of which was expected. Based on this definition, we developed a method in which an automaton was revised and generalized. For phoneme recognition, we used the model sound method developed by Niyada. We, all the members, put the above-mentioned methods together and made the sound input system of autopsy findings. The system ran to recognize sounds without time delay. Since the precision of sound recognition is not enough, the improvement of the system will be continued in future.

专家经常进行官方报告，例如对MEDICO-LEGAL尸检等实际估计的估计。这是一项耗时的工作。如果将语音输入自动转换为Sentense，则制作文档的负载将减少。在当前的语音输入系统中，仍然很难自动识别一般句子。但是，当条件如此限制以至于用户是特殊的时，1）用户仅限于指定的扬声器，2）几乎确定了文档的表达，并且句子的结构相对简单，3）官方报告中的词汇数字为4000，从3000起，词汇编号降低了文档，将文档降低到每个零件中。这些条件将减轻设备的负载，并轻松开发该设备。在这项研究中，我们开发了一种用于尸检报告的Sentense识别系统。首先，我们通过ECGI方法构建了一个自动机来表示句子的结构。然后，我们定义了自动机的状态之间的距离，以增强与单词的对应关系，其外观是预期的。基于此定义，我们开发了一种修改和广泛化自动机的方法。对于音素识别，我们使用了Niyada开发的模型声学方法。我们所有成员都将上述方法放在一起，并使尸检发现的声音输入系统。系统运行以识别声音而不时间延迟。由于声音识别的精度还不够，因此将来将继续进行系统的改进。