CENSREC-3: Data Collection for In-Car Speech Recognition and Its Common Evaluation Framework
Masakiyo Fujimoto, Satoshi Nakamura, Toshiki Endo, Kazuya Takeda, Chiyomi Miyajima, Shingo Kuroiwa, Takeshi Yamada, Norihide Kitaoka, Katsuhiko Yamamoto, Mitsunori Mizumachi, Takanobu Nishiura, Akira Sasou · 2005
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.