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Semi-blind suppression of internal noise for hands-free robot spoken dialog system

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dc.contributor.author Even Jani en
dc.contributor.author Hiroshi Saruwatari en
dc.contributor.author Kiyohiro Shikano en
dc.contributor.author Tomoya Takatani en
dc.date.accessioned 2012-08-22T07:58:56Z en
dc.date.available 2012-08-22T07:58:56Z en
dc.date.issued 2009-10 en
dc.identifier.isbn 9781424438044 en
dc.identifier.uri http://hdl.handle.net/10061/8181 en
dc.description IROS2009: IEEE/RSJ International Conference on Intelligent Robots and Systems, October 2009, St Louis, MO, USA. en
dc.description.abstract The speech enhancement architecture presented in this paper is specifically developed for hands-free robot spoken dialog systems. It is designed to take advantage of additional sensors installed inside the robot to record the internal noises. First a modified frequency domain blind signal separation (FD-BSS) gives estimates of the noises generated outside and inside of the robot. Then these noises are canceled from the acquired speech by a multichannel Wiener post-filter. Some experimental results show the recognition improvement for a dictation task in presence of both diffuse background noise and internal noises. en
dc.language.iso en en
dc.publisher IEEE en
dc.rights Copyright 2009 IEEE en
dc.title Semi-blind suppression of internal noise for hands-free robot spoken dialog system en
dc.type.nii Conference Paper en
dc.textversion Publisher en
dc.identifier.spage 658 en
dc.identifier.epage 663 en
dc.relation.doi 10.1109/IROS.2009.5354451 en

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