基于判别模型和N-Gram的G.729语音丢包恢复

Takeshi Nagano, A. Ito
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引用次数: 4

摘要

在VoIP应用中,丢包会导致语音质量下降。特别是在大规模灾难下的IP网络会造成严重的丢包。研究了G.729编解码器的参数损失与语音质量的关系。本文提出了在严重丢包情况下的丢包恢复方法,该方法采用支持向量机(SVM)对丢包之间的关系进行建模。与“重复”方法相比,该方法可以提高语音质量。当我们同时使用SVM和N-gram来隐藏丢包时,我们可以得到进一步提高的语音质量。
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A Packet Loss Recovery of G.729 Speech Using Discriminative Model and N-Gram
In a VoIP application, packet losses degrade speech quality. Especially, IP network under a large-scale disaster should cause severe packet losses. We have investigated the relationship between parameter loss and speech quality for G.729 codec. In this paper, we propose packet loss recovery method under severe packet loss condition, where the relationship was modeled by Support Vector Machine (SVM). Compared with the "repetition" method, the proposed method could improve speech quality. When we used both SVM and N-gram for concealing packet losses, we could obtain further improvement of speech quality.
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