21st International Conference on Data Engineering Workshops (ICDEW'05)
CENSREC-3: Data Collection for In-Car Speech Recognition and Its Common Evaluation Framework
Tokyo, Japan
April 05-April 08
ISBN: 0-7695-2657-8
Toshiki Endo, ATR Spoken Language Translation Research Laboratories
Akira Sasou, National Institute of Advanced Industrial Science and Technology
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 IPSJ-SIG SLP Noisy Speech Recognition Evaluation Working Group. CENSREC-3 which is a sequel of AURORA-2J is designed as the evaluation framework of isolated word recognition in real driving car environments. Speech data was collected using 2 microphones, a close-talking microphone and a hands-free microphone, under carefully controlled 16 different driving conditions, i.e., combinations of 3 car speeds and 5 car conditions. CENSREC-3 provides 6 evaluation environments which are designed using speech data collected in these car conditions.
Citation:
Masakiyo Fujimoto, Satoshi Nakamura, Toshiki Endo, Kazuya Takeda, Chiyomi Miyajima, Shingo Kuroiwa, Takeshi Yamada, Norihide Kitaoka, Kazumasa Yamamoto, Mitsunori Mizumachi, Takanobu Nishiura, Akira Sasou, "CENSREC-3: Data Collection for In-Car Speech Recognition and Its Common Evaluation Framework," icdew, pp.1208, 21st International Conference on Data Engineering Workshops (ICDEW'05), 2005