使用多重訊號分類演算法之多聲源方位追蹤與分離

Multiple Source Tracking and Separation Using MUSIC Algorithm

蕭昀軒(Yun-Hsuan Hsiao)

指導教授 ： 胡竹生

國立交通大學/工學院/聲音與音樂創意科技碩士學位學程/碩士(2011年)

https://doi.org/10.6842/NCTU.2011.00871

摘要

本論文提出一套利用麥克風陣列偵測聲源方位並進行追蹤的方法，本方法利
用多重訊號分類(multiple signal classification)演算法估測聲源方位，
並對聲源頻譜進行估測。結合聲源頻譜與空間分佈資訊，利用機率決策方法
對未知數量聲源方位進行追蹤。由於本方法結合了聲源的空間與頻率特性，
可在低訊噪比下對多聲源進行追蹤並保有強健的偵測率，且可排除錯誤偵測
的聲源方位。

關鍵字

聲源方位追蹤 ； 訊號來源偵測

並列摘要

This thesis proposes a multiple sound sources localization and tracking method by microphone array. The method uses a multiple signal classification algorithm to detect the location of source
and estimate their spectrum distribution.
The multiple source tracking method is implemented by probability decision method combining the spatial and spectrum distribution. This proposed method can track multiple sources at the same time and maintain high detection rate under very low SNR conditions.

並列關鍵字

Source Tracking ； Direction of Arrivals estimation

參考文獻

[1-1] C. H. Knapp and G. C. Carter, “The generalized correlation method for estimation of time delay,” IEEE Trans. Acoust., Speech, Signal Processing, ASSP-24(4):320-327, Aug. 1976.

[1-2] J. L. Flanagan, J. D. Johnston, R. Zahn, and G. W. Elko, ”Computer-steered microphone arrays for sound transduction in large rooms,” J. Acoust. Soc. Am., vol. 78 Issue 5 pp. 1508-1518, July 1985.

[1-3] C.P. Mathews, D. Zoltowski, “Eigenstructure techniques for 2-D angle estimation with uniform circular arrays”, IEEE Transactions on signal processing, 1994.

[1-4] R.O. Schmidt, “Multiple Emitter Location and Signal Parameter Estimation”, IEEE Trans. Antennas and Propag., vol. AP-34, no. 3, pp.276-280,March 1986.

[1-5] D. Bechler, M. Schlosser and K. Kroschel, ”System for robust 3D speaker tracking using microphone array measurements”, IEEE/RSJ International Conference on Intelligent Robots and Systems pp. 2117–2122, Oct. 2004.