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CENSREC-3: An Evaluation Framework for Japanese Speech Recognition in Real Car-Driving Environments Masakiyo FUJIMOTO Kazuya TAKEDA Satoshi NAKAMURA Publication IEICE TRANSACTIONS on Information and Systems Vol.E89-D No.11 pp.2783-2793 Publication Date: 2006/11/01 Online ISSN: 1745-1361 DOI: 10.1093/ietisy/e89-d.11.2783 Print ISSN: 0916-8532 Type of Manuscript: PAPER Category: Speech and Hearing Keyword: noisy speech recognition, common evaluation framework, in-car speech database, CENSREC-3, Full Text: PDF(1.1MB)>>
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. | ||||||||||
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