CENSREC-3: An Evaluation Framework for Japanese Speech Recognition in Real Car-Driving Environments

Authors:
Masakiyo Fujimoto;Kazuya Takeda;Satoshi Nakamura
Affiliations:
The authors are with the ATR Spoken Language Communication Research Laboratories, "Keihanna Science City", Kyoto-fu, 619-0288 Japan. E-mail: masakiyo@cslab.kecl.ntt.co.jp, E-mail: satoshi.nakamura ...;The author is with Nagoya University, Nagoya-shi, 464-8603 Japan. E-mail: takeda@is.nagoya-u.ac.jp,;The authors are with the ATR Spoken Language Communication Research Laboratories, "Keihanna Science City", Kyoto-fu, 619-0288 Japan. E-mail: masakiyo@cslab.kecl.ntt.co.jp, E-mail: satoshi.nakamura ...
Venue:
IEICE - Transactions on Information and Systems
Year:
2006

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Cited 1

Linear Discriminant Analysis Using a Generalized Mean of Class Covariances and Its Application to Speech Recognition

IEICE - Transactions on Information and Systems

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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.