使用誤差平方調整NLMS的聲學迴音消除演算法

A New Double-Talk Detection Using Square-Error-Based Regularization NLMS Algorithm For Acoustic Echo Cancellation

楊詠甯(Yung-Ning Yang)

指導教授 ： 李仲溪

元智大學/電機通訊學院/電機工程學系/碩士(2008年)

摘要

本論文主要在探討改良聲學迴音消除器中的雙邊談話機制，並且提出一個較適合語音訊號處理的適應濾波器。我們以雙迴音路徑的雙邊談話偵測機制架構，搭配相關係數法的準則作為我們雙邊談話偵測的機制，此機制能使適應性濾波器達到迴音消除而不破壞近端語音的好處。我們利用誤差平方調整正規化最小均方演算法來當作適應性濾波器，整合出我們所提出的具有雙邊談話偵測機制之聲學迴音消除演算法，大量的模擬實驗結果驗證了我們的分析，展現了此一架構的優越性。

關鍵字

聲學迴音消除 ； 適應濾波器 ； 雙邊談話偵測 ； 正規化最小均方演算法

並列摘要

The main purpose of this thesis is to study the double-talk detection of the acoustic echo cancellation. We use the frame of the two-path echo cancellation which is combined with cross-correlation method to be our double-talk detection. The detector can actually differentiate between echo and near-end speech. We introduce the square-error-based regularization NLMS algorithm acoustic echo cancellation method with double-talk detection. A large number of simulations demonstated the usefulness of our sheme.

並列關鍵字

acoustic echo cancellation ； adaptive filter ； double talk detection ； normailized least mean square algorithm

參考文獻

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