loading...
 This Article 
   
 Share 
   
 Bibliographic References 
   
 Add to: 
 
Digg
Furl
Spurl
Blink
Simpy
Google
Del.icio.us
Y!MyWeb
 
 Search 
   
21st International Conference on Data Engineering Workshops (ICDEW'05)
Analysis of a large in-car speech corpus
Tokyo, Japan
April 05-April 08
ISBN: 0-7695-2657-8
ASCII Text
x 
 
Hiroshi Fujimura, Nobuo Kawaguchi, Shigekio Matsubara, Katsunobu Itou, Kazuya Takeda, "Analysis of a large in-car speech corpus," Data Engineering Workshops, 22nd International Conference on, pp. 1209, 21st International Conference on Data Engineering Workshops (ICDEW'05), 2005.
 
 
BibTex
x
 
@article{ 10.1109/ICDE.2005.192,
author = {Hiroshi Fujimura and Nobuo Kawaguchi and Shigekio Matsubara and Katsunobu Itou and Kazuya Takeda},
title = {Analysis of a large in-car speech corpus},
journal ={Data Engineering Workshops, 22nd International Conference on},
volume = {0},
year = {2005},
isbn = {0-7695-2657-8},
pages = {1209},
doi = {http://doi.ieeecomputersociety.org/10.1109/ICDE.2005.192},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
x 
 
TY - CONF
JO - Data Engineering Workshops, 22nd International Conference on
TI - Analysis of a large in-car speech corpus
SN - 0-7695-2657-8
SP
EP
A1 - Hiroshi Fujimura,
A1 - Nobuo Kawaguchi,
A1 - Shigekio Matsubara,
A1 - Katsunobu Itou,
A1 - Kazuya Takeda,
PY - 2005
KW - null
VL - 0
JA - Data Engineering Workshops, 22nd International Conference on
ER -
 
Hiroshi Fujimura, Graduate School of Information Science, Nagoya University, Nagoya
Nobuo Kawaguchi, Information Technology Center, Nagoya University, Nagoya
Shigekio Matsubara, Information Technology Center, Nagoya University, Nagoya
Katsunobu Itou, Graduate School of Information Science, Nagoya University, Nagoya
Kazuya Takeda, Graduate School of Information Science, Nagoya University, Nagoya
We analyze the dependency oj.conversationa1 utterances on the mode of dialogue. A speech corpus of 800 speakers collected utzder three dzperent modes, i.e., talking to a human operutor u WOZ systenz and an ASR systenz, is used for analysis. Characteristics such as sentence conzplexity, loudness of the voice and speaking-rate were found to be sign$cuntly different among the dialogue modes. Linear regression unalysis results also clarlfi the relative importance ofthose churucteristic.s on speech recognition accuracy.
Citation:
Hiroshi Fujimura, Nobuo Kawaguchi, Shigekio Matsubara, Katsunobu Itou, Kazuya Takeda, "Analysis of a large in-car speech corpus," icdew, pp.1209, 21st International Conference on Data Engineering Workshops (ICDEW'05), 2005
Usage of this product signifies your acceptance of the Terms of Use.