CIAIR In-Car Speech Corpus--Influence of Driving Status--
Summary :
CIAIR, Nagoya University, has been compiling an in-car speech database since 1999. This paper discusses the basic information contained in this database and an analysis on the effects of driving status based on the database. We have developed a system called the Data Collection Vehicle (DCV), which supports synchronous recording of multi-channel audio data from 12 microphones which can be placed throughout the vehicle, multi-channel video recording from three cameras, and the collection of vehicle-related data. In the compilation process, each subject had conversations with three types of dialog system: a human, a "Wizard of Oz" system, and a spoken dialog system. Vehicle information such as speed, engine RPM, accelerator/brake-pedal pressure, and steering-wheel motion were also recorded. In this paper, we report on the effect that driving status has on phenomena specific to spoken language
- Publication
- IEICE TRANSACTIONS on Information Vol.E88-D No.3 pp.578-582
- Publication Date
- 2005/03/01
- Publicized
- Online ISSN
- DOI
- 10.1093/ietisy/e88-d.3.578
- Type of Manuscript
- Special Section LETTER (Special Section on Corpus-Based Speech Technologies)
- Category
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Nobuo KAWAGUCHI, Shigeki MATSUBARA, Kazuya TAKEDA, Fumitada ITAKURA, "CIAIR In-Car Speech Corpus--Influence of Driving Status--" in IEICE TRANSACTIONS on Information,
vol. E88-D, no. 3, pp. 578-582, March 2005, doi: 10.1093/ietisy/e88-d.3.578.
Abstract: CIAIR, Nagoya University, has been compiling an in-car speech database since 1999. This paper discusses the basic information contained in this database and an analysis on the effects of driving status based on the database. We have developed a system called the Data Collection Vehicle (DCV), which supports synchronous recording of multi-channel audio data from 12 microphones which can be placed throughout the vehicle, multi-channel video recording from three cameras, and the collection of vehicle-related data. In the compilation process, each subject had conversations with three types of dialog system: a human, a "Wizard of Oz" system, and a spoken dialog system. Vehicle information such as speed, engine RPM, accelerator/brake-pedal pressure, and steering-wheel motion were also recorded. In this paper, we report on the effect that driving status has on phenomena specific to spoken language
URL: https://global.ieice.org/en_transactions/information/10.1093/ietisy/e88-d.3.578/_p
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@ARTICLE{e88-d_3_578,
author={Nobuo KAWAGUCHI, Shigeki MATSUBARA, Kazuya TAKEDA, Fumitada ITAKURA, },
journal={IEICE TRANSACTIONS on Information},
title={CIAIR In-Car Speech Corpus--Influence of Driving Status--},
year={2005},
volume={E88-D},
number={3},
pages={578-582},
abstract={CIAIR, Nagoya University, has been compiling an in-car speech database since 1999. This paper discusses the basic information contained in this database and an analysis on the effects of driving status based on the database. We have developed a system called the Data Collection Vehicle (DCV), which supports synchronous recording of multi-channel audio data from 12 microphones which can be placed throughout the vehicle, multi-channel video recording from three cameras, and the collection of vehicle-related data. In the compilation process, each subject had conversations with three types of dialog system: a human, a "Wizard of Oz" system, and a spoken dialog system. Vehicle information such as speed, engine RPM, accelerator/brake-pedal pressure, and steering-wheel motion were also recorded. In this paper, we report on the effect that driving status has on phenomena specific to spoken language},
keywords={},
doi={10.1093/ietisy/e88-d.3.578},
ISSN={},
month={March},}
Copy
TY - JOUR
TI - CIAIR In-Car Speech Corpus--Influence of Driving Status--
T2 - IEICE TRANSACTIONS on Information
SP - 578
EP - 582
AU - Nobuo KAWAGUCHI
AU - Shigeki MATSUBARA
AU - Kazuya TAKEDA
AU - Fumitada ITAKURA
PY - 2005
DO - 10.1093/ietisy/e88-d.3.578
JO - IEICE TRANSACTIONS on Information
SN -
VL - E88-D
IS - 3
JA - IEICE TRANSACTIONS on Information
Y1 - March 2005
AB - CIAIR, Nagoya University, has been compiling an in-car speech database since 1999. This paper discusses the basic information contained in this database and an analysis on the effects of driving status based on the database. We have developed a system called the Data Collection Vehicle (DCV), which supports synchronous recording of multi-channel audio data from 12 microphones which can be placed throughout the vehicle, multi-channel video recording from three cameras, and the collection of vehicle-related data. In the compilation process, each subject had conversations with three types of dialog system: a human, a "Wizard of Oz" system, and a spoken dialog system. Vehicle information such as speed, engine RPM, accelerator/brake-pedal pressure, and steering-wheel motion were also recorded. In this paper, we report on the effect that driving status has on phenomena specific to spoken language
ER -
English
