NDLI: A New Speech Source Locating System Using Orthocenter Locating Algorithm

Content Provider	IEEE Xplore Digital Library
Author	Yu Wu Ming Lv
Copyright Year	2007
Description	Author affiliation: Univ. of Electron. Sci. & Technol. of China, Chengdu (Yu Wu; Ming Lv)
Abstract	The speech source locating technology using orthocenter locating algorithm has been researched and a far-field signal model based on microphone array is obtained. As the single cross-array is too small to estimate the position, it's only used to detection bearings. So a new locating algorithm is presented in this paper. It is the first time to use this locating algorithm in practical speech source locating system. In this paper, three cross-arrays are used to form a triangle-array which is in big size. Cross-array is the sub-array, and triangle-array is the main-array. To each cross-array, we use the modified MUSIC (multiple signal classification) algorithm to estimate DOA (direction of arrival). This algorithm utilizes two dimensional searching for spectrum peak to get the plane angle and the polar angle. With the bearing results of sub-arrays, main-array confirms a point in the triangle enclosed by locating lines as the target position. The point is the orthocenter of the enclosed triangle. The results of the simulation prove that this algorithm can restrain noise, and improve the performance of the speech source locating system.
Starting Page	792
Ending Page	795
File Size	2732463
Page Count	4
File Format	PDF
ISBN	9781424414734
DOI	10.1109/ICCCAS.2007.4348168
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2007-07-11
Publisher Place	Japan
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Speech coding Azimuth Signal processing algorithms Speech enhancement Microphone arrays Multiple signal classification Classification algorithms Noise robustness Direction of arrival estimation Speech processing
Content Type	Text
Resource Type	Article

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