利用声回波对消器输出信号构建检测统计量的双端语音检测

声回波对消中，双端语音检测用以判定远端语音是否混和有近端语音。为了提高双端语音检测性能，采用自适应声回波对消器输出信号(而非远端语音信号)与麦克风输出信号构建检测统计量，利用无近端语音时二者间较强的相关性，达到提高检测性能，减少运算量的目的。通过算法软件仿真，结果证明该算法较其它的互相关统计量检测算法具有较好的检测性能。

Doubletalk Detection Using Detection Statistics Formed by the Output Signal of the Echo Canceller

Doubletalk detection(DTD) is used to sense whether the far-end speech is corrupted by the near-end speech in echo cancellation.In order to improve the performance of doubletalk detection,the output of an adaptive acoustic echo canceller(AEC),instead of a far-end speech,and the output of a microphone were employed to form detection statistics.By taking advantage of the strong correlativity between the output of the AEC and the output of the microphone when the near-end speech is absent,the detection performance was improved and the computational complexity was decreased.Simulation results showed that better performance of this algorithm compared with the performance of other cross-correlation based algorithms can be achieved.