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

Authors:
Jani Even;Hiroshi Sawada;Hiroshi Saruwatari;Kiyohiro Shikano;Tomoya Takatani
Affiliations:
Graduate School of Information Science Nara Institute of Science and Technology, Ikoma, Nara, Japan;Graduate School of Information Science Nara Institute of Science and Technology, Ikoma, Nara, Japan;Graduate School of Information Science Nara Institute of Science and Technology, Ikoma, Nara, Japan;Graduate School of Information Science Nara Institute of Science and Technology, Ikoma, Nara, Japan;Toyota Motor Corporation, Toyota, Aichi, Japan
Venue:
IROS'09 Proceedings of the 2009 IEEE/RSJ international conference on Intelligent robots and systems
Year:
2009

Citing 4
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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 (FDBSS) 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.