NDLI: Directional Acoustic Source'S Position and Orientation Estimation Approach by a Microphone Array Network

Content Provider	IEEE Xplore Digital Library
Author	Nakano, A.Y. Yamamoto, K. Nakagawa, S.
Copyright Year	2009
Description	Author affiliation: Toyohashi University of Technology, Toyohashi 441-8580, Japan, Department of Information and Computer Sciences, kyama@slp.ics.tut.ac.jp (Yamamoto, K.) \|\| Toyohashi University of Technology, Toyohashi 441-8580, Japan, Department of Information and Computer Sciences, nakagawa@slp.ics.tut.ac.jp (Nakagawa, S.) \|\| Toyohashi University of Technology, Toyohashi 441-8580, Japan, Department of Information and Computer Sciences, alberto@slp.ics.tut.ac.jp (Nakano, A.Y.)
Abstract	In this paper we present a directional acoustic source's position and orientation estimation approach by a microphone array network in an enclose environment. In this work we assumed that at least one array in the network yields an acceptable position estimation, and based on this assumption we try to automatically select this array and determine the source's orientation. Here, position estimates are determined indirectly using time delay of arrival (TDOA) from microphone pairs. A position candidate and energy related features (power level of the recorded signals and correlation value between pairs of recorded signals) were determined a priori for each array, and used as input of an artificial neural network (ANN) whose outputs are the orientation and the array which has the most likely source's position. Additionally, we derive weighting functions based on the ANN output and use them to combine array estimates to obtain a more reliable position estimation.
Starting Page	606
Ending Page	611
File Size	286784
Page Count	6
File Format	PDF
ISBN	9781424436774
DOI	10.1109/DSP.2009.4785995
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2009-01-04
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Microphone arrays Acoustic arrays Artificial neural networks Phased arrays Signal to noise ratio Yield estimation Delay effects Reverberation Delay estimation Phase estimation Neural network Microphone array network Source localization Source orientation estimation
Content Type	Text
Resource Type	Article

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