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Data Collection in Real Acoustical Environments for Sound Scene Understanding and Hands-Free Speech Recognition

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dc.contributor.author Satoshi Nakamura en
dc.contributor.author Kazuo Hiyane en
dc.contributor.author Futoshi Asano en
dc.contributor.author Takeshi Yamada en
dc.contributor.author Takashi Endo en
dc.date.accessioned 2012-08-22T07:58:42Z en
dc.date.available 2012-08-22T07:58:42Z en
dc.date.issued 1999-09 en
dc.identifier.issn 1018-4074 en
dc.identifier.uri http://hdl.handle.net/10061/7950 en
dc.description EUROSPEECH1999: the 6th European Conference on Speech Communication and Techinology, September 5-9, 1999, Budapest, Hungary. en
dc.description.abstract This paper describes a sound scene database necessary for studies such as sound source localization, sound re trieval, sound recognition and hands-free speech recognition in real acoustical environments. This paper reports on a project for collection of the sound scene data supported by Real World Computing Partnership(RWCP). There are many kinds of sound scenes in real environments. The sound scene is denoted by sound sources and room acoustics. The number of combination of the sound sources, source positions and rooms is huge in real acoustical environments. Two approaches are taken to build the sound scene database in the early stage of the project. The rst approach is to collect isolated sound sources of many kinds of non-speech sounds and speech sounds. The second approach is to collect impulse responses in various acoustical environments. The sound in the environments can be simulated by convolution of the isolated sound sources and impulse responses. In a later stage, the sound scene data in real acoustical environments is planned to be collected using a three dimensional microphone array. In this paper, the plan and progress of our sound scene database project are described. en
dc.language.iso en en
dc.rights Copyright 1999 ISCA en
dc.title Data Collection in Real Acoustical Environments for Sound Scene Understanding and Hands-Free Speech Recognition en
dc.type.nii Conference Paper en
dc.textversion Publisher en
dc.identifier.spage 2255 en
dc.identifier.epage 2258 en
dc.identifier.NAIST-ID 73296626 en


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