How to Judge Reusability of Existing Speech Corpora for Target Task by Utilizing Statistical Multidimensional Scaling


NAIST \| Library	Advanced Search	Japanese \| English

Please use this identifier to cite or link to this item: http://hdl.handle.net/10061/8147

Title:	How to Judge Reusability of Existing Speech Corpora for Target Task by Utilizing Statistical Multidimensional Scaling
Authors:	Goshu Nagino Makoto Shozakai Kiyohiro Shikano
Keywords:	statistical MDS reusability acoustic model task dependency
Issue Date:	Aug-2007
Start page:	1302
End page:	1305
Abstract:	In order to develop a target speech recognition system with less cost of time and money, reusability of existing speech corpora is becoming one of the most important issues. This paper proposes a new technique to judge the reusability of existing speech corpora for a target task by utilizing a statistical multidimensional scaling method. In an experiment using twelve tasks in five speech corpora, our proposed method could show high correlation to the cross task recognition performance and judge the reusability of existing speech corpora correctly for the target task with lower cost.
Description:	INTERSPEECH2007: 8th Annual Conference of the International Speech Communication Association, August 27-31, 2007, Antwerp, Belgium.
URI:	http://hdl.handle.net/10061/8147
Rights:	Copyright 2007 ISCA
Text Version:	Publisher
Appears in Collections:	情報科学研究科 / Graduate School of Information Science

Files in This Item:

File	Size	Format
INTERSPEECH_2007_1302.pdf	638.98 kB	Adobe PDF	View/Open