Error Resilient Speech Coding Using Sub-band Hilbert Envelopes

被引:0
|
作者
Ganapathy, Sriram [1 ]
Motlicek, Petr [2 ]
Hermansky, Hynek [1 ]
机构
[1] IDIAP Res Inst, Martigny, Switzerland
[2] Ecole Polytech Fed Lausanne, Lausanne, Switzerland
来源
关键词
LINEAR PREDICTION;
D O I
暂无
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Frequency Domain Linear Prediction (FDLP) represents a technique for auto-regressive modelling of Hilbert envelopes of a signal. In this paper, we propose a speech coding technique that uses FDLP in Quadrature Mirror Filter (QMF) sub-bands of short segments of the speech signal (25 ms). Line Spectral Frequency parameters related to autoregressive models and the spectral components of the residual signals are transmitted. For simulating the effects of lossy transmission channels, bit-packets are dropped randomly. In the objective and subjective quality evaluations, the proposed FDLP speech codec is judged to be more resilient to bit-packet losses compared to the state-of-the-art Adaptive Multi-Rate Wide-Band (AMR-WB) codec at 12 kbps.
引用
收藏
页码:355 / +
页数:3
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