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LSP-based multiple-description coding for real-time low bit-rate voice transmissions

机译:基于LSP的多描述编码,用于实时低位速率语音传输

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A fundamental issue in real-time interactive voice transmissions over unreliable IP networks is the loss or late arrival of packets for playback. Such losses cannot be recovered by retransmissions due to tight time constraints in interactive applications. This problem is especially serious in transmitting low bit-rate coded speech when pervasive dependencies are introduced in a bit stream, leading to the loss of subsequent dependent frames when a single packet is lost or arrives late. In this paper, we propose a novel LSP-based multiple-description coding method that adapts its number of descriptions to network loss conditions in order to conceal packet losses in transmitting low-bit-rate coded speech over lossy packet networks. Based on high correlations observed in linear predictor parameters, in the form of Line Spectral Pairs (LSPs), of adjacent frames, we generate multiple descriptions in a sender by interleaving LSPs, and reconstruct lost LSPs in a receiver by linear interpolations. Without increasing the transmission bandwidth, our scheme represents a trade-off between the quality of received packets and the ability to reconstruct lost packets. Our experimental results on FS CELP show good performance.
机译:在通过不可靠的IP网络上的实时交互语音传输的一个根本问题是损失或回放包迟到。这种损失不能被重发因交互式应用紧迫的时间限制恢复。这个问题在当普遍依赖于比特流被引入,导致随后的从属帧的丢失时的单个分组丢失或迟到传输的低比特率编码的语音特别严重。在本文中,我们提议适应其描述到网络损失条件的数目,以便在超过有损分组网络传输的低比特率编码的语音隐藏丢包的新型基于LSP的多描述编码方法。基于在线性预测参数观察到的,在线谱对(LSP的),相邻帧的形式高的相关性,我们通过交织的LSP产生在一个发送者多描述,并重建由线性内插的LSP丢失在接收机中。在不增加传输带宽,我们的方案表示接收的数据包的质量和重建丢失的数据包的能力之间的权衡。我们对FS CELP实验结果表明,良好的性能。

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