Analysis of a large in-car speech corpus

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21st International Conference on Data Engineering Workshops (ICDEW'05)

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

DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/ICDE.2005.192

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

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