多聲源方位偵測與聲源數量估測結果

實驗是在正常吵雜的環境中進行，使用 8 個麥克風構成的麥克風陣列，麥克 風陣列如下圖十九所示，首先是單聲源的情況，下表三代表單聲源的情況經由

圖 十九、麥克風陣列 Experimental Conditions Experimental

Results Experimental Results Source SNR

(dB) Correct

Experimental Conditions Experimental

Results Experimental Results Source SNR

(dB) Correct

出之估算方法，同時存在雙聲源的時候依舊可以找出各別的方位以及估算出聲源 數量，接者觀察同時有四個聲源存在於空間中的時候估算的結果，如下表五所示，

Experimental Conditions Experimental

Results Experimental Results Source SNR

(dB) Correct Angle

第六章 未來展望

本論文中我們提出了一套利用分散式的麥克風陣列在只有麥克風座標以及 麥克風收集到的聲音資訊下對多聲源方位以及聲源數量估測的方法，透過這樣的 方法我們可以處裡同時存在多個聲源的情況，並且估算出實際空間中存在的聲源 數量，由於麥克風可以是分散式的不需要有特定的形狀，所以更能符合各種應 用，也因為此聲源方位偵測的方法不需要知道聲源數量，因此更能適用實際的空 間狀態。

目前使用的麥克風陣列有 8 個麥克風，根據第四章的分析可以知道，越多麥 克風對於誤差的降低是有幫助的，而誤差的降低不僅是代表角度估測正確性的提 升同時意味著聲源的數量可以更多，未來可以應用在人數的估計以及輔助保全攝 影機監控雜亂的會場方面，另外可以應用在人機介面上，做到多人同時與機器人 互動。

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