Utilization of acoustical feature in visualization of multiple speech corpora

Kimiko Yamakawa*, Hideaki Kikuchi, Tomoko Matsui, Shuichi Itahashi

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Citations (Scopus)

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.

Original languageEnglish
Title of host publication2009 Oriental COCOSDA International Conference on Speech Database and Assessments, ICSDA 2009
Pages143-147
Number of pages5
DOIs
Publication statusPublished - 2009
Event2009 Oriental COCOSDA International Conference on Speech Database and Assessments, ICSDA 2009 - Urumqi, China
Duration: 2009 Aug 102009 Aug 12

Publication series

Name2009 Oriental COCOSDA International Conference on Speech Database and Assessments, ICSDA 2009

Conference

Conference2009 Oriental COCOSDA International Conference on Speech Database and Assessments, ICSDA 2009
Country/TerritoryChina
CityUrumqi
Period09/8/1009/8/12

ASJC Scopus subject areas

  • Language and Linguistics
  • Software
  • Linguistics and Language

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