Large Bocabularly Spoken Word Recognition system Using Phonemic Segmentation Units

使用音素分割单元的大型口语单词识别系统

基本信息

批准号：
05555102
负责人：
IMAI Satoshi
金额：
$ 6.34万
依托单位：
Tokyo Institute of Techology
依托单位国家：
日本
项目类别：
Grant-in-Aid for Developmental Scientific Research (B)
财政年份：
1993
资助国家：
日本
起止时间：
1993 至 1994
项目状态：
已结题

来源：
https://kaken.nii.ac.jp/grant/KAKENHI-PROJECT-05555102/
关键词：
Spoken word Recognition Phonemic Segmentation Phoneme Labeling Large Vocabulary Multiple Referenc Pattern Parallel Phoneme Labeling Method Segment Lattice Multiple Segmentation Method 大語彙化

项目摘要

In this research project, we substantiated that the speech recognition method based on the phonemic segmentation and phoneme labeling was very effective for the large vocabulary spoken word recognition, and we developed a high performance large vocabulary spoken word recognition system using the phonemic segmentation units.This spoken word recognition system is composed of the following subsystems : an acoustic analysis subsystem, phonemic segmentation units, phoneme labeling subsystem and word matching subsystem. one ofproblem of this word recognition system errors in the phonemic segmentation and phoneme labeling. We tried to improve the system in the phonemic segmentation and phoneme labeling.Trough this research project, we got the following good results.(1) We realized a high performance automatic phonemic segmentation unit for speaker and context independent Japanese speech recognition system. We substantiated that this segmentation unit was effective for the large vocabulary word recognition.(2) We developed a higher performance large vocabulary spoken word recognition system using the phonemic segmentation unit and phoneme labeling system.Experiments were carried out using the dictionaries of 1845 words and 4915 words to evaluate the system. The word recognition rates for the first candidate were found to be 96.5% and 94.5% for 1845 word and 4915 word dictionaries respectively. An estimated recognition rate for 20000 word dictionary was approximately 90%.(3) We proposed the parallel phonemic segmentation method in order to achieve a higher word recognition rate. Using the parallel phonemic segmentation unit, we obtained 1 or 2% higher recognition rate for 4915 word dictionay. We also proposed the parallel phoneme labeling method, and substantiated the method is very effective for realizing a higher recognition rate.

In this research project, we substantiated that the speech recognition method based on the phonemic segmentation and phoneme labeling was very effective for the large vocabulary spoken word recognition, and we developed a high performance large vocabulary spoken word recognition system using the phonemic segmentation units.This spoken word recognition system is composed of the following subsystems : an acoustic analysis subsystem, phonemic segmentation units, phoneme labeling subsystem and word匹配子系统。音调分割和音素标记中此单词识别系统错误的问题。我们试图改善音素分割和音素标签中的系统。陷入研究项目，我们得到了以下良好的结果。（1）我们意识到了扬声器和上下文独立的日本语音识别系统的高性能自动音素分割单元。我们证实了该分割单元对大型词汇识别识别是有效的。（2）我们使用语音分割单元和音素标记系统开发了更高的性能大型词汇式口语识别系统。使用1845个单词和4915个单词来评估该系统。发现第一个候选人的一词识别率分别为1845 Word和4915个单词词典的96.5％和94.5％。 20000个单词词典的估计识别率约为90％。（3）我们提出了平行的音素分割方法，以达到更高的单词识别率。使用平行的语音分割单元，我们获得了4915个单词dictionay的识别率提高1或2％。我们还提出了平行的音素标记方法，并证实该方法对于实现更高的识别率非常有效。