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

机译:基于LSP的多描述编码,可实现IP上的实时低比特率语音

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摘要

A fundamental issue in real-time interactive voice transmissions over unreliable IF networks is the loss or late arrival of packets for playback. This problem is especially serious when transmitting low bit rate-coded speech with pervasive dependencies introduced. In this case, the loss or late arrival of a single packet will lead to the loss of subsequent dependent frames. We study end-to-end loss-concealment schemes for ensuring high quality in playback. We propose a novel multiple description-coding method for concealing packet losses in transmitting low bit rate-coded speech. 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 senders by interleaving LSPs, and reconstruct lost LSPs in receivers by linear interpolations. As excitation codewords have low correlations, we further enlarge the segment size for excitation generation and replicate excitation codewords in all the descriptions in order to maintain the same transmission bandwidth. Our proposed scheme can be extended easily to more than two descriptions and can adapt its number of descriptions dynamically to network-loss conditions. Experimental results on FS-1016 CELP, ITU G.723.1, and FS MELP coders show good performance of our scheme.
机译:在不可靠的IF网络上进行实时交互式语音传输的一个基本问题是要重放的数据包丢失或延迟到达。当传输具有普遍依赖性的低比特率编码语音时,此问题尤其严重。在这种情况下,单个数据包的丢失或延迟到达将导致后续依赖帧的丢失。我们研究了端到端的损失掩盖方案,以确保高质量的播放。我们提出了一种新颖的多描述编码方法,用于在传输低比特率编码语音时隐藏数据包丢失。基于在相邻帧的线性预测变量(线谱对(LSP)形式)中观察到的高度相关性,我们通过对LSP进行交织在发送方中生成多个描述,并通过线性插值在接收方中重建丢失的LSP。由于激励码字具有较低的相关性,我们将进一步扩大用于激励生成的段大小,并在所有描述中复制激励码字,以保持相同的传输带宽。我们提出的方案可以轻松地扩展到两个以上的描述,并且可以根据网络丢失情况动态调整其描述数量。在FS-1016 CELP,ITU G.723.1和FS MELP编码器上的实验结果表明,该方案具有良好的性能。

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