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

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...

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Hauptverfasser: Qinghua Zheng, Weizhan Zhang, Sha Gong, Yiqin Yu, Geli Lv
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Weizhan Zhang
Sha Gong
Yiqin Yu
Geli Lv
description 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
doi_str_mv 10.1109/CSCWD.2006.253232
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source IEEE Electronic Library (IEL) Conference Proceedings
subjects Acoustic Echo Cancellation
Acoustic signal detection
Bandwidth
Change detection algorithms
Detection algorithms
Detectors
Double-talk Detector
Echo cancellers
Education
Filters
Live Teaching
Microphones
Speech enhancement
title A Speech Enhancement Approach for Live Teaching System Using a Novel Hybrid Double Talk Detector
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