IEICE TRANSACTIONS on Information
CENSREC-3: An Evaluation Framework for Japanese Speech Recognition in Real Car-Driving Environments
Summary :
This paper introduces a common database, an evaluation framework, and its baseline recognition results for in-car speech recognition, CENSREC-3, as an outcome of the IPSJ-SIG SLP Noisy Speech Recognition Evaluation Working Group. CENSREC-3, which is a sequel to AURORA-2J, has been designed as the evaluation framework of isolated word recognition in real car-driving environments. Speech data were collected using two microphones, a close-talking microphone and a hands-free microphone, under 16 carefully controlled driving conditions, i.e., combinations of three car speeds and six car conditions. CENSREC-3 provides six evaluation environments designed using speech data collected in these conditions.
- Publication
- IEICE TRANSACTIONS on Information Vol.E89-D No.11 pp.2783-2793
- Publication Date
- 2006/11/01
- Publicized
- Online ISSN
- 1745-1361
- DOI
- 10.1093/ietisy/e89-d.11.2783
- Type of Manuscript
- PAPER
- Category
- Speech and Hearing
Authors
Keyword
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Masakiyo FUJIMOTO, Kazuya TAKEDA, Satoshi NAKAMURA, "CENSREC-3: An Evaluation Framework for Japanese Speech Recognition in Real Car-Driving Environments" in IEICE TRANSACTIONS on Information,
vol. E89-D, no. 11, pp. 2783-2793, November 2006, doi: 10.1093/ietisy/e89-d.11.2783.
Abstract: This paper introduces a common database, an evaluation framework, and its baseline recognition results for in-car speech recognition, CENSREC-3, as an outcome of the IPSJ-SIG SLP Noisy Speech Recognition Evaluation Working Group. CENSREC-3, which is a sequel to AURORA-2J, has been designed as the evaluation framework of isolated word recognition in real car-driving environments. Speech data were collected using two microphones, a close-talking microphone and a hands-free microphone, under 16 carefully controlled driving conditions, i.e., combinations of three car speeds and six car conditions. CENSREC-3 provides six evaluation environments designed using speech data collected in these conditions.
URL: https://global.ieice.org/en_transactions/information/10.1093/ietisy/e89-d.11.2783/_p
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@ARTICLE{e89-d_11_2783,
author={Masakiyo FUJIMOTO, Kazuya TAKEDA, Satoshi NAKAMURA, },
journal={IEICE TRANSACTIONS on Information},
title={CENSREC-3: An Evaluation Framework for Japanese Speech Recognition in Real Car-Driving Environments},
year={2006},
volume={E89-D},
number={11},
pages={2783-2793},
abstract={This paper introduces a common database, an evaluation framework, and its baseline recognition results for in-car speech recognition, CENSREC-3, as an outcome of the IPSJ-SIG SLP Noisy Speech Recognition Evaluation Working Group. CENSREC-3, which is a sequel to AURORA-2J, has been designed as the evaluation framework of isolated word recognition in real car-driving environments. Speech data were collected using two microphones, a close-talking microphone and a hands-free microphone, under 16 carefully controlled driving conditions, i.e., combinations of three car speeds and six car conditions. CENSREC-3 provides six evaluation environments designed using speech data collected in these conditions.},
keywords={},
doi={10.1093/ietisy/e89-d.11.2783},
ISSN={1745-1361},
month={November},}
Copy
TY - JOUR
TI - CENSREC-3: An Evaluation Framework for Japanese Speech Recognition in Real Car-Driving Environments
T2 - IEICE TRANSACTIONS on Information
SP - 2783
EP - 2793
AU - Masakiyo FUJIMOTO
AU - Kazuya TAKEDA
AU - Satoshi NAKAMURA
PY - 2006
DO - 10.1093/ietisy/e89-d.11.2783
JO - IEICE TRANSACTIONS on Information
SN - 1745-1361
VL - E89-D
IS - 11
JA - IEICE TRANSACTIONS on Information
Y1 - November 2006
AB - This paper introduces a common database, an evaluation framework, and its baseline recognition results for in-car speech recognition, CENSREC-3, as an outcome of the IPSJ-SIG SLP Noisy Speech Recognition Evaluation Working Group. CENSREC-3, which is a sequel to AURORA-2J, has been designed as the evaluation framework of isolated word recognition in real car-driving environments. Speech data were collected using two microphones, a close-talking microphone and a hands-free microphone, under 16 carefully controlled driving conditions, i.e., combinations of three car speeds and six car conditions. CENSREC-3 provides six evaluation environments designed using speech data collected in these conditions.
ER -
English
