本論文應用具多喇叭與多麥克風之多聲道音響空間傳播模型偵測特定空間內聲音傳播特性，並據此建構多聲道音響控制系統，使用調適濾波器技術使得位於多個接收端之訊號能依事先規劃之接收特性達成自動調整的功能。多聲道音響控制系統於各信號源至各喇叭間均加入一獨立調適濾波器用以補償修正各接收端所合成之音訊特性。由於人耳對各頻段的敏感度不同，因此調適濾波器所使用的誤差函數已根據人耳聽覺效應在各個頻帶間進行加權，使得誤差評估方式能接近人耳聽覺特性，因而產生較佳的聽覺效果。
基於本論文所建構聲音傳播模型與誤差評估方式，吾等利用MATLAB進行各種不同音訊傳播與特性調整之模擬，當中包含：(1)補償音訊信號源至各接收點間聲音傳播特性；(2)消除各音訊信號在各接收點所產生之串音現象；(3)消除空間中噪音源傳播至各接收點的噪音。甚至可同時結合以上三種音訊功能，系統仍可正確無誤的進行調整。而其實驗結果顯示此音訊架構對於以上各音訊功能皆能有效的調整，並且在許多相類似的音訊功能都可利用此音訊架構完成。

This thesis is mainly devoted to the development of a multiple-channel sound wave transmission model associated with a multiple-speaker and multiple-microphone environment for the purpose of evaluating the sound transmission characteristics in an enclosed space, which leads to the construction of a multiple-channel audio adaptation system that employs the adaptive filter techniques to achieve prescribed signal characteristics at multiple reception points through the use of automatic adaptation. This multiple-channel audio adaptation system inserts an independent adaptive FIR filter between each signal source and each speaker to compensate and to adjust the characteristics of the corresponding signal at each receiving end. As the susceptibility of the human ears is clearly frequency dependent, the cost function used in the adaptive filters of the multiple-channel audio adaptation system has taken into account of the static psychoacoustic model that applies frequency-dependent weighting to respective audio components, which produces a cost evaluation scheme similar to the human ears and enhances the overall system performance.
Based upon the sound transmission model and the error criteria we have developed, a number of applicable system functionalities of the multiple-channel audio adaptation system have been simulated and investigated by using the Matlab tool. These application areas include: (1) systems that compensate for the signal transmission characteristics measured at multiple reception points; (2) systems capable of eliminating the crosstalk at multiple reception points; (3) systems that cancel the noise components at multiple reception points. Moreover, systems with all three of the above functionalities can be implemented and have been verified by simulation. In addition, the system model developed in this thesis is applicable to many additional application areas with minor modifications.

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