{"title":"Utilization of acoustical feature in visualization of multiple speech corpora","authors":"K. Yamakawa, H. Kikuchi, T. Matsui, S. Itahashi","doi":"10.1109/ICSDA.2009.5278359","DOIUrl":null,"url":null,"abstract":"The purpose of this study is to visualize the similarities among multiple speech corpora. In order for users to easily utilize various speech corpora, we reported a visualization method based on the corpus attribute using MDS. We had proposed the eight attributes as the speech corpus features. However, these attributes contained no acoustical feature of the speech corpus. The acoustical feature is important information in some intended use of corpus. In this paper, we propose a new attribute, the acoustical feature of speech corpora, in addition to the conventional attributes. The results of visualization indicates that the method using the new attribute can visualize better the similarities between multiple speech corpora. This will facilitate searching efficiently the specific corpus that fits a user's needs. Based on the obtained results, we built a corpus search system which corpus users can use as a benchmark of corpus selection. The outline and possibility of this system are described.","PeriodicalId":254906,"journal":{"name":"2009 Oriental COCOSDA International Conference on Speech Database and Assessments","volume":"37 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2009-10-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2009 Oriental COCOSDA International Conference on Speech Database and Assessments","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICSDA.2009.5278359","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 4
Abstract
The purpose of this study is to visualize the similarities among multiple speech corpora. In order for users to easily utilize various speech corpora, we reported a visualization method based on the corpus attribute using MDS. We had proposed the eight attributes as the speech corpus features. However, these attributes contained no acoustical feature of the speech corpus. The acoustical feature is important information in some intended use of corpus. In this paper, we propose a new attribute, the acoustical feature of speech corpora, in addition to the conventional attributes. The results of visualization indicates that the method using the new attribute can visualize better the similarities between multiple speech corpora. This will facilitate searching efficiently the specific corpus that fits a user's needs. Based on the obtained results, we built a corpus search system which corpus users can use as a benchmark of corpus selection. The outline and possibility of this system are described.