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A Speech Enhancement Approach for Live Teaching System Using a Novel Hybrid Double Talk Detector

机译：新型混合式双重说话检测器的实时教学系统语音增强方法

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摘要

Acoustic echo is a very trouble question in the live teaching system where teacher''s speech will be echoed in the classroom after a moment. This paper presents a speech enhancement framework shaping for live teaching system based on a novel hybrid double-talk detector (DTD). The proposed double-talk detection algorithm consists of two decision stages. First, double-talk is detected based on the classic energy-based approach. While a further judgment for silence situation is made in the second stage. If silence is announced, the microphone channel is shut down to reduce the bandwidth requirement. After simulation and experiment, it is found that not only the proposed approach is effective in enhancing the speech quality but also can it save the network bandwidth for e-learning system
机译：回声在现场教学系统中是一个非常棘手的问题，在此之后，老师的讲话会在教室中回声。本文提出了一种基于新型混合双向通话检测器（DTD）的实时教学系统语音增强框架。所提出的双向通话检测算法包括两个决策阶段。首先，基于经典的基于能量的方法来检测双方通话。而在第二阶段将进一步对沉默情况做出判断。如果宣布静音，则会关闭麦克风通道以减少带宽需求。经过仿真和实验，发现该方法不仅可以有效地提高语音质量，而且可以节省网络学习系统的网络带宽。

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